Results for random forest classifier#
Multilabel classification with imbalanced data#
Confusion matrices#
import numpy as np
import pandas as pd
from sklearn import preprocessing
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import TimeSeriesSplit
# import data
df = pd.read_csv("data/SCADA_downtime_merged.csv", skip_blank_lines=True)
list1 = list(df["turbine_id"].unique()) # list of turbines to plot
list1 = sorted(list1, key=int) # sort turbines in ascending order
list2 = list(df["TurbineCategory_id"].unique()) # list of categories
list2 = [g for g in list2 if g >= 0] # remove NaN from list
list2 = sorted(list2, key=int) # sort categories in ascending order
# categories to remove
list2 = [m for m in list2 if m not in (1, 12, 13, 14, 15, 17, 21, 22)]
list4 = list(range(0, 14))
for x in list1: # filter only data for turbine x
dfx = df[(df["turbine_id"] == x)].copy()
for y in list2:
# copying fault to new column (mins)
# (fault when turbine category id is y)
def ff(c):
if c["TurbineCategory_id"] == y:
return 0
else:
return 1
dfx["mins"] = dfx.apply(ff, axis=1)
dfx = dfx.sort_values(by="timestamp", ascending=False)
# sort values by timestamp in descending order
dfx.reset_index(drop=True, inplace=True) # reset index
if dfx.loc[0, "mins"] == 0:
# assigning value to first cell if it's not 0
dfx.set_value(0, "mins", 0)
else:
dfx.set_value(0, "mins", 999999999)
for i, e in enumerate(dfx["mins"]):
# using previous value's row to evaluate time
if e == 1:
dfx.at[i, "mins"] = dfx.at[i - 1, "mins"] + 10
dfx = dfx.sort_values(by="timestamp") # sort in ascending order
dfx.reset_index(drop=True, inplace=True) # reset index
dfx["hours"] = dfx["mins"].astype(np.int64)
# convert to hours, then round to nearest hour
dfx["hours"] = dfx["hours"] / 60
dfx["hours"] = round(dfx["hours"]).astype(np.int64)
def f11(c): # > 48 hours - label as normal (9999)
if c["hours"] > 48:
return 9999
else:
return c["hours"]
dfx["hours"] = dfx.apply(f11, axis=1)
def f22(
c,
):
# filter out curtailment - curtailed when turbine is pitching
# outside 0 deg <= normal <= 3.5 deg
if (
0 <= c["pitch"] <= 3.5
or c["hours"] != 9999
or (
(c["pitch"] > 3.5 or c["pitch"] < 0)
and (
c["ap_av"] <= (0.1 * dfx["ap_av"].max())
or c["ap_av"] >= (0.9 * dfx["ap_av"].max())
)
)
):
return "normal"
else:
return "curtailed"
dfx["curtailment"] = dfx.apply(f22, axis=1)
def f3(
c,
):
# filter unusual readings, i.e. for normal operation,
# power <= 0 in operating wind speeds, power >100...
# before cut-in, runtime < 600 and other downtime categories
if c["hours"] == 9999 and (
(
3 < c["ws_av"] < 25
and (
c["ap_av"] <= 0
or c["runtime"] < 600
or c["EnvironmentalCategory_id"] > 1
or c["GridCategory_id"] > 1
or c["InfrastructureCategory_id"] > 1
or c["AvailabilityCategory_id"] == 2
or 12 <= c["TurbineCategory_id"] <= 15
or 21 <= c["TurbineCategory_id"] <= 22
)
)
or (c["ws_av"] < 3 and c["ap_av"] > 100)
):
return "unusual"
else:
return "normal"
dfx["unusual"] = dfx.apply(f3, axis=1)
def f4(c): # round to 6 hour intervals
if c["hours"] == 0:
return 10
elif 1 <= c["hours"] <= 6:
return 11
elif 7 <= c["hours"] <= 12:
return 12
elif 13 <= c["hours"] <= 18:
return 13
elif 19 <= c["hours"] <= 24:
return 14
elif 25 <= c["hours"] <= 30:
return 15
elif 31 <= c["hours"] <= 36:
return 16
elif 37 <= c["hours"] <= 42:
return 17
elif 43 <= c["hours"] <= 48:
return 18
else:
return 19
dfx["hours6"] = dfx.apply(f4, axis=1)
def f5(c): # change label for unusual and curtailed data (20)
if c["unusual"] == "unusual" or c["curtailment"] == "curtailed":
return 20
else:
return c["hours6"]
dfx["hours_%s" % y] = dfx.apply(f5, axis=1)
dfx = dfx.drop("hours6", axis=1) # drop unnecessary columns
dfx = dfx.drop("hours", axis=1)
dfx = dfx.drop("mins", axis=1)
dfx = dfx.drop("curtailment", axis=1)
dfx = dfx.drop("unusual", axis=1)
# separate features from classes for classification
features = [
"ap_av",
"ws_av",
"wd_av",
"pitch",
"ap_max",
"ap_dev",
"reactive_power",
"rs_av",
"gen_sp",
"nac_pos",
]
classes = [col for col in dfx.columns if "hours" in col]
list6 = features + classes # list of columns to copy into new df
df2 = dfx[list6].copy()
df2 = df2.dropna() # drop NaNs
X = df2[features]
X = preprocessing.normalize(X) # normalise features to values b/w 0 and 1
Y = df2[classes]
Y = Y.as_matrix() # convert from pd dataframe to np array
# cross validation using time series split
tscv = TimeSeriesSplit(n_splits=5)
rf = RandomForestClassifier(criterion="entropy", n_jobs=-1)
for train_index, test_index in tscv.split(X):
# looping for each cross validation fold
# split train and test sets
X_train, X_test = X[train_index], X[test_index]
Y_train, Y_test = Y[train_index], Y[test_index]
rf1 = rf.fit(X_train, Y_train) # fit to classifier and predict
Yp = rf1.predict(X_test)
for m in list4:
Yt = Y_test[:, m]
Ypr = Yp[:, m]
print(
"Confusion matrix for turbine {}, turbine category {}".format(
x, m
)
)
print(confusion_matrix(Yt, Ypr))
print("------------------------------------------------------------")
Confusion matrix for turbine 1, turbine category 0
[[16269 42]
[ 252 792]]
Confusion matrix for turbine 1, turbine category 1
[[ 0 0 0 0 0 0 0 0 0 5 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 15978 41]
[ 0 0 0 0 0 0 0 0 0 251 792]]
Confusion matrix for turbine 1, turbine category 2
[[16269 42]
[ 252 792]]
Confusion matrix for turbine 1, turbine category 3
[[ 36 9 2 6 1 0 0 0 4 1 7]
[ 0 15 7 3 10 3 3 1 3 60 2]
[ 0 1 2 4 4 4 0 0 0 54 3]
[ 0 4 4 1 12 5 1 1 1 30 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 60 1399 213 79 167 225 116 86 88 13595 42]
[ 54 64 16 100 15 13 144 20 33 178 344]]
Confusion matrix for turbine 1, turbine category 4
[[ 216 17 6 1 1 1 4 0 0 36 34]
[ 6 60 30 17 2 9 15 7 1 554 24]
[ 4 31 34 11 5 10 9 4 2 547 17]
[ 0 28 9 6 3 16 9 5 1 511 5]
[ 0 30 16 4 4 4 3 3 1 494 13]
[ 1 24 11 3 0 0 1 1 0 479 20]
[ 0 13 11 2 7 4 5 1 0 458 10]
[ 1 5 4 3 2 2 4 1 4 411 19]
[ 0 5 7 0 2 0 5 0 1 397 15]
[ 1 142 127 61 143 58 49 83 42 11271 29]
[ 145 20 15 3 2 3 1 2 0 149 190]]
Confusion matrix for turbine 1, turbine category 5
[[16269 42]
[ 252 792]]
Confusion matrix for turbine 1, turbine category 6
[[ 0 0 0 0 0 0 0 0 0 7 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 71 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 1 0 0 0 0 0 0 0 0 15 20]
[ 1 3 0 0 0 0 0 0 0 15861 43]
[ 5 2 0 0 0 0 0 1 0 239 762]]
Confusion matrix for turbine 1, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 1 40 69 154 72 61 17 6 19 15822 50]
[ 0 8 3 17 3 0 0 0 0 215 798]]
Confusion matrix for turbine 1, turbine category 8
[[ 219 185 84 138 37 10 1 0 1 29 6]
[ 178 1489 437 314 139 65 25 19 26 227 0]
[ 42 741 334 189 114 42 32 17 10 271 6]
[ 45 495 216 134 103 47 21 27 16 251 9]
[ 21 331 230 112 70 18 20 22 5 283 14]
[ 11 223 184 104 68 35 17 35 14 244 2]
[ 8 143 115 64 49 17 13 19 19 329 10]
[ 10 135 123 73 37 27 21 22 17 274 2]
[ 14 89 146 78 41 32 8 19 26 212 7]
[ 180 903 889 465 297 142 184 183 164 2648 19]
[ 44 22 18 45 14 5 9 5 6 33 27]]
Confusion matrix for turbine 1, turbine category 9
[[16269 42]
[ 252 792]]
Confusion matrix for turbine 1, turbine category 10
[[16269 42]
[ 252 792]]
Confusion matrix for turbine 1, turbine category 11
[[ 0 0 0 0 0 0 0 0 0 25 7]
[ 0 0 0 0 0 0 0 0 0 169 11]
[ 0 0 0 0 0 0 0 0 0 212 4]
[ 0 0 0 0 0 0 0 0 0 216 0]
[ 0 0 0 0 0 0 0 0 0 207 9]
[ 0 0 0 0 0 0 0 0 0 216 0]
[ 0 0 0 0 0 0 0 0 0 213 3]
[ 0 0 0 0 0 0 0 0 0 214 2]
[ 0 0 0 0 0 0 0 0 0 213 3]
[ 0 0 0 0 0 0 0 0 0 14612 21]
[ 0 0 0 0 0 0 0 0 0 224 774]]
Confusion matrix for turbine 1, turbine category 12
[[16269 42]
[ 252 792]]
Confusion matrix for turbine 1, turbine category 13
[[16269 42]
[ 252 792]]
------------------------------------------------------------------------
Confusion matrix for turbine 1, turbine category 0
[[15056 16]
[ 501 1782]]
Confusion matrix for turbine 1, turbine category 1
[[ 0 0 0 0 0 0 0 0 0 106 143]
[ 0 0 0 0 0 0 0 0 0 123 69]
[ 0 0 0 0 0 0 0 0 0 145 35]
[ 0 0 0 0 0 0 0 0 0 140 40]
[ 0 0 0 0 0 0 0 0 0 123 57]
[ 0 0 0 2 0 0 0 0 0 92 61]
[ 0 0 0 0 0 0 0 0 0 93 51]
[ 0 0 0 0 0 0 0 0 0 89 55]
[ 0 0 0 0 0 0 0 0 0 93 51]
[ 0 13 2 21 13 8 13 11 12 14150 17]
[ 0 0 0 0 0 0 0 0 0 305 1222]]
Confusion matrix for turbine 1, turbine category 2
[[15056 16]
[ 501 1782]]
Confusion matrix for turbine 1, turbine category 3
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 6 26 7 9 11 2 7 7 18 14961 18]
[ 64 1 3 17 1 10 56 4 0 483 1644]]
Confusion matrix for turbine 1, turbine category 4
[[ 99 1 0 0 0 0 0 0 0 5 4]
[ 0 5 2 2 1 0 1 0 0 77 0]
[ 0 1 1 0 1 0 0 0 0 69 0]
[ 0 0 5 0 0 0 1 1 0 65 0]
[ 0 2 1 2 1 0 2 0 0 64 0]
[ 0 0 0 0 0 0 0 1 0 71 0]
[ 0 1 2 0 1 0 0 1 1 66 0]
[ 0 3 0 0 6 2 0 0 1 60 0]
[ 0 1 1 3 0 0 0 0 0 67 0]
[ 0 89 116 75 45 71 35 90 34 13902 19]
[ 387 4 6 1 3 0 79 76 3 399 1220]]
Confusion matrix for turbine 1, turbine category 5
[[15056 16]
[ 501 1782]]
Confusion matrix for turbine 1, turbine category 6
[[ 0 0 0 0 0 0 0 0 0 74 150]
[ 0 0 0 0 0 0 0 0 0 256 4]
[ 0 0 0 0 0 0 0 0 0 225 1]
[ 0 0 0 0 0 0 0 0 0 208 3]
[ 0 0 0 0 0 0 0 0 0 179 1]
[ 0 0 0 0 0 0 0 0 0 174 6]
[ 0 0 0 0 0 0 0 0 0 145 35]
[ 0 0 0 0 0 0 0 0 0 158 22]
[ 0 0 0 0 1 0 0 0 0 179 0]
[ 2 0 4 0 0 0 0 0 3 13493 12]
[ 2 14 0 0 0 0 0 0 2 457 1545]]
Confusion matrix for turbine 1, turbine category 7
[[ 2 0 0 0 0 0 0 0 0 11 67]
[ 2 0 0 0 0 0 0 0 0 41 66]
[ 1 0 0 0 0 0 0 0 0 42 43]
[ 0 0 0 0 0 0 0 0 0 35 37]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 63 9]
[ 0 0 0 0 0 0 0 0 0 39 33]
[ 0 0 0 0 0 0 0 0 0 37 35]
[ 0 6 13 21 3 12 17 16 14 14626 25]
[ 21 1 2 3 0 0 0 0 1 432 1435]]
Confusion matrix for turbine 1, turbine category 8
[[ 43 41 11 4 0 5 4 1 0 14 0]
[ 34 383 176 77 25 10 17 15 3 141 24]
[ 23 222 113 55 42 18 16 22 11 188 24]
[ 31 175 91 22 44 18 30 13 7 245 10]
[ 14 160 79 44 30 11 27 11 5 234 7]
[ 7 103 79 49 41 19 9 23 4 275 3]
[ 16 64 80 43 44 20 17 8 21 274 1]
[ 14 86 83 37 34 12 12 13 14 269 2]
[ 10 103 60 49 24 20 6 10 8 228 9]
[ 35 1131 761 692 405 286 247 242 190 6193 14]
[ 605 148 173 155 46 43 9 44 14 252 297]]
Confusion matrix for turbine 1, turbine category 9
[[ 0 0 0 0 0 0 0 0 0 85 579]
[ 0 0 0 0 0 0 0 0 0 386 33]
[ 0 0 0 0 0 0 0 0 0 351 9]
[ 0 0 0 0 0 0 0 0 0 318 42]
[ 0 0 0 0 0 0 0 0 0 224 35]
[ 0 0 0 0 0 0 0 0 0 157 59]
[ 0 0 0 0 0 0 0 0 0 150 66]
[ 0 0 0 0 0 0 0 0 0 159 49]
[ 0 0 0 0 0 0 0 0 0 142 38]
[ 0 0 0 0 0 0 0 0 0 13274 16]
[ 0 0 0 0 0 0 0 0 0 311 872]]
Confusion matrix for turbine 1, turbine category 10
[[15056 16]
[ 501 1782]]
Confusion matrix for turbine 1, turbine category 11
[[ 0 2 0 0 0 0 0 0 0 6 4]
[ 0 10 0 0 1 1 0 0 2 45 13]
[ 0 1 0 2 3 0 2 0 1 58 5]
[ 0 1 0 0 0 0 0 1 0 64 6]
[ 0 0 0 2 0 0 0 0 0 34 36]
[ 0 1 0 1 0 0 0 0 1 67 2]
[ 0 2 0 0 2 2 0 0 0 65 1]
[ 0 4 0 0 0 0 1 0 1 66 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 5 56 39 46 58 28 62 86 36 14120 34]
[ 2 3 18 1 1 0 0 1 0 332 1839]]
Confusion matrix for turbine 1, turbine category 12
[[ 0 0 0 0 0 0 0 0 0 330 380]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 14606 16]
[ 0 0 0 0 0 0 0 0 0 335 1400]]
Confusion matrix for turbine 1, turbine category 13
[[15056 16]
[ 501 1782]]
------------------------------------------------------------------------
Confusion matrix for turbine 1, turbine category 0
[[9094 751]
[1098 6412]]
Confusion matrix for turbine 1, turbine category 1
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 32 4 9 19 8 5 41 9 2 8990 726]
[ 48 24 15 2 0 1 66 40 4 1064 6246]]
Confusion matrix for turbine 1, turbine category 2
[[9094 751]
[1098 6412]]
Confusion matrix for turbine 1, turbine category 3
[[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 5 2 122 2 0 0 9085 629]
[ 11 33 20 63 1 13 1 1113 6255]]
Confusion matrix for turbine 1, turbine category 4
[[ 32 0 0 0 0 0 0 0 0 1 18]
[ 0 1 0 0 0 0 0 0 0 22 30]
[ 0 0 0 0 0 0 0 1 0 35 0]
[ 0 0 0 0 0 0 0 0 0 32 4]
[ 0 0 0 0 0 0 0 0 0 29 7]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 137 1 8 1 0 2 1 1 1 8813 626]
[ 244 9 6 0 0 0 6 0 0 1052 6091]]
Confusion matrix for turbine 1, turbine category 5
[[ 0 0 0 0 0 0 0 0 0 14 51]
[ 0 0 0 0 0 0 0 0 0 88 0]
[ 0 0 0 0 0 0 0 0 0 70 2]
[ 0 0 0 0 0 0 0 0 0 67 5]
[ 0 0 0 0 0 0 0 0 0 69 3]
[ 0 0 0 0 0 0 0 0 0 46 26]
[ 0 0 0 0 0 0 0 0 0 50 22]
[ 0 0 0 0 0 0 0 0 0 68 4]
[ 0 0 0 0 0 0 0 0 0 32 40]
[ 0 0 0 0 0 0 0 0 0 8788 737]
[ 0 0 0 0 0 0 0 0 0 900 6273]]
Confusion matrix for turbine 1, turbine category 6
[[ 0 0 0 0 0 0 0 0 0 771 142]
[ 0 0 0 0 0 0 0 0 0 62 18]
[ 0 0 0 0 0 0 0 0 0 70 2]
[ 0 0 0 0 0 0 0 0 0 55 17]
[ 0 0 0 0 0 0 0 0 0 42 30]
[ 0 0 0 0 0 0 0 0 0 40 32]
[ 0 0 0 0 0 0 0 0 0 39 33]
[ 0 0 0 0 0 0 0 0 0 56 16]
[ 0 0 0 0 0 0 0 0 0 61 11]
[ 136 4 11 3 2 1 2 0 7 7895 612]
[1353 1 0 0 0 0 0 0 0 1148 4683]]
Confusion matrix for turbine 1, turbine category 7
[[ 0 1 0 0 0 0 0 0 0 99 17]
[ 0 0 0 0 0 0 0 0 0 141 3]
[ 0 0 0 0 0 0 0 0 0 125 19]
[ 0 0 0 0 0 0 0 0 0 129 15]
[ 0 0 0 0 0 0 0 0 0 120 6]
[ 0 0 0 0 0 0 0 0 0 88 20]
[ 0 0 0 0 0 0 0 0 0 98 10]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 106 2]
[ 0 1 0 0 1 0 36 0 0 8088 733]
[ 29 16 15 6 1 0 132 3 0 1053 6134]]
Confusion matrix for turbine 1, turbine category 8
[[ 31 5 3 0 0 0 0 0 1 90 20]
[ 109 30 14 1 2 2 1 2 7 173 35]
[ 68 6 7 1 0 0 1 5 5 239 19]
[ 56 1 20 4 4 2 0 4 4 213 16]
[ 53 11 5 4 2 0 1 0 9 214 25]
[ 51 5 11 2 1 3 1 1 7 229 13]
[ 37 7 2 2 0 1 3 0 8 217 32]
[ 36 30 1 0 5 0 12 9 0 168 23]
[ 26 0 2 0 1 5 0 0 0 187 31]
[ 473 268 122 54 33 43 24 41 61 6276 576]
[ 220 366 33 24 23 1 1 35 16 901 5070]]
Confusion matrix for turbine 1, turbine category 9
[[ 33 0 0 0 0 0 0 0 0 3 1]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 1 0 0 0 0 0 0 35 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 15 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 27 1 6 0 9 1 3 5 8828 735]
[ 37 6 4 3 0 7 26 20 17 1098 6254]]
Confusion matrix for turbine 1, turbine category 10
[[9094 751]
[1098 6412]]
Confusion matrix for turbine 1, turbine category 11
[[ 0 0 0 0 0 0 0 0 0 19 1]
[ 0 0 1 1 0 0 0 0 0 105 1]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 1 0 1 0 0 0 0 0 106 0]
[ 0 0 0 0 0 2 0 0 0 106 0]
[ 0 0 0 0 0 0 2 0 1 104 1]
[ 0 29 24 4 11 10 4 6 13 8105 771]
[ 0 3 4 4 18 0 0 0 0 1044 6421]]
Confusion matrix for turbine 1, turbine category 12
[[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 446 3 1 1 1 8807 586]
[1488 1 0 0 0 709 5312]]
Confusion matrix for turbine 1, turbine category 13
[[ 0 2624 6139]
[ 0 7161 30]
[ 0 407 994]]
------------------------------------------------------------------------
Confusion matrix for turbine 1, turbine category 0
[[13524 55]
[ 199 3577]]
Confusion matrix for turbine 1, turbine category 1
[[ 0 0 0 0 0 0 0 0 0 5 79]
[ 0 1 0 0 0 0 0 0 0 35 0]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 32 4]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 33 3]
[ 1 6 4 16 1 4 3 1 2 13207 48]
[ 12 34 33 0 0 1 0 2 0 190 3418]]
Confusion matrix for turbine 1, turbine category 2
[[13524 55]
[ 199 3577]]
Confusion matrix for turbine 1, turbine category 3
[[ 4 0 1 1 0 0 0 0 0 16 101]
[ 0 0 1 0 0 0 0 0 0 164 142]
[ 0 0 0 0 0 0 0 0 0 201 51]
[ 0 0 0 0 0 0 1 0 0 235 16]
[ 0 0 0 0 0 1 0 0 0 242 9]
[ 0 0 4 0 0 0 0 0 0 227 2]
[ 0 0 0 0 0 0 0 0 0 183 1]
[ 0 0 0 0 0 0 0 0 0 177 3]
[ 0 0 0 0 0 0 0 0 0 158 22]
[ 0 2 6 1 6 2 0 2 0 11908 50]
[ 219 0 30 47 0 6 25 19 0 189 2880]]
Confusion matrix for turbine 1, turbine category 4
[[ 96 1 1 0 0 1 4 0 0 0 6]
[ 0 0 1 1 1 0 0 0 0 18 51]
[ 0 3 0 4 1 1 0 0 0 24 39]
[ 0 0 0 0 0 0 0 0 1 58 13]
[ 0 0 1 1 0 0 0 0 0 22 48]
[ 0 1 1 0 0 0 0 0 1 31 38]
[ 0 1 1 0 0 0 0 0 0 35 30]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 37 30 27 15 17 14 14 9 13089 49]
[ 237 104 15 7 9 2 1 1 3 203 2864]]
Confusion matrix for turbine 1, turbine category 5
[[ 0 0 0 0 0 0 0 0 0 16 11]
[ 0 0 0 0 0 0 0 0 0 72 36]
[ 0 0 0 0 0 0 0 0 0 84 24]
[ 0 0 0 0 0 0 0 0 0 97 11]
[ 0 0 0 0 0 0 0 0 3 78 27]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 1 0 0 0 0 106 1]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 4 0 0 0 0 1 0 1 0 12755 54]
[ 57 0 0 0 0 5 4 0 2 180 3401]]
Confusion matrix for turbine 1, turbine category 6
[[ 0 0 0 0 0 0 0 0 0 3 129]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 3 7 7 9 6 1 0 1 7 13196 57]
[ 20 15 0 1 0 0 1 8 0 192 3404]]
Confusion matrix for turbine 1, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 2 6 5 2 7 7 7 2 13486 55]
[ 9 12 30 0 1 0 0 0 161 3563]]
Confusion matrix for turbine 1, turbine category 8
[[ 155 52 23 16 4 9 1 1 4 210 70]
[ 473 328 107 54 44 43 10 7 7 466 85]
[ 122 227 77 34 36 16 18 5 11 455 62]
[ 37 135 73 41 28 22 15 4 8 456 61]
[ 41 70 38 33 21 11 13 6 5 387 33]
[ 31 82 46 14 32 19 13 8 3 310 83]
[ 22 47 36 40 27 27 13 4 1 343 16]
[ 2 45 20 19 33 21 11 9 4 348 30]
[ 8 32 21 21 16 20 9 1 4 300 55]
[ 22 730 362 257 233 208 117 92 77 6468 36]
[ 321 395 95 48 29 8 1 16 5 77 742]]
Confusion matrix for turbine 1, turbine category 9
[[ 150 0 0 0 0 0 0 0 31 31 354]
[ 0 0 0 1 0 0 1 0 0 209 41]
[ 0 0 0 0 0 0 0 1 2 223 26]
[ 0 0 2 0 3 0 1 7 0 209 30]
[ 0 0 1 0 1 3 0 0 0 238 9]
[ 0 0 0 0 0 0 0 0 0 252 0]
[ 0 0 0 0 1 0 1 1 0 249 0]
[ 0 0 0 1 0 1 0 1 0 246 3]
[ 0 0 1 1 0 0 0 0 0 235 15]
[ 2 9 6 9 7 3 17 10 1 11559 58]
[ 171 0 0 0 0 1 0 0 0 182 2738]]
Confusion matrix for turbine 1, turbine category 10
[[ 0 0 0 0 0 0 0 0 0 0 22]
[ 0 0 0 0 0 0 0 0 0 1 35]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 12 24]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 13332 55]
[ 0 0 0 0 0 0 0 0 0 198 3460]]
Confusion matrix for turbine 1, turbine category 11
[[ 0 0 0 0 0 0 0 0 0 12 13]
[ 0 0 0 0 0 0 0 0 0 108 36]
[ 0 3 0 0 0 0 1 1 1 101 37]
[ 0 0 0 0 0 0 0 0 0 108 36]
[ 0 0 0 0 0 0 0 0 0 124 20]
[ 0 0 0 0 0 0 0 0 0 144 0]
[ 0 0 0 1 0 0 0 0 0 141 2]
[ 0 4 0 0 0 2 2 0 0 135 1]
[ 1 2 1 1 0 0 0 1 0 134 4]
[ 1 18 12 17 22 5 10 3 24 12384 60]
[ 4 2 2 1 20 0 0 1 1 147 3444]]
Confusion matrix for turbine 1, turbine category 12
[[ 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0]
[ 14 1 3 1 3 1 13501 55]
[ 32 0 0 0 0 0 198 3546]]
Confusion matrix for turbine 1, turbine category 13
[[ 16 0 0 0 0 0 0 0 0 10 289]
[ 0 0 0 0 0 0 0 0 0 35 37]
[ 0 0 0 0 0 0 0 0 0 63 9]
[ 0 0 0 0 0 0 0 0 0 47 25]
[ 0 0 0 0 0 0 0 0 0 35 37]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 37 35]
[ 0 0 0 0 0 0 0 0 0 40 32]
[ 0 0 0 0 0 0 0 0 0 61 11]
[ 113 0 0 0 0 0 0 0 0 13069 42]
[ 111 0 0 0 0 0 0 0 0 181 2948]]
------------------------------------------------------------------------
Confusion matrix for turbine 1, turbine category 0
[[13966 34]
[ 270 3085]]
Confusion matrix for turbine 1, turbine category 1
[[ 0 0 2 0 0 0 0 0 0 1 14]
[ 0 0 0 0 0 0 0 0 0 41 31]
[ 0 0 0 0 0 0 0 0 0 49 23]
[ 0 0 0 0 0 0 0 0 0 25 47]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 42 30]
[ 0 0 0 0 0 0 0 0 0 68 4]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 52 20]
[ 8 3 7 3 0 2 3 0 0 13558 38]
[ 16 0 7 0 2 4 0 1 0 249 2861]]
Confusion matrix for turbine 1, turbine category 2
[[13966 34]
[ 270 3085]]
Confusion matrix for turbine 1, turbine category 3
[[ 10 0 0 0 0 0 0 0 0 8 75]
[ 0 0 0 0 0 1 0 0 0 42 0]
[ 0 0 1 0 0 0 0 0 0 34 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 9 98 35 4 5 8 5 11 4 13483 41]
[ 29 24 1 12 3 2 4 12 13 260 2904]]
Confusion matrix for turbine 1, turbine category 4
[[ 16 0 0 0 0 0 0 0 0 2 27]
[ 0 1 1 4 0 0 0 1 0 27 38]
[ 7 5 3 0 0 1 0 0 0 20 36]
[ 1 3 7 0 3 4 0 0 0 33 21]
[ 0 0 0 0 0 1 0 0 0 71 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 2 1 1 0 0 0 1 0 0 61 6]
[ 0 6 7 0 0 0 0 0 0 57 2]
[ 1 7 9 2 0 3 0 0 0 49 1]
[ 5 303 66 32 41 10 59 44 14 12938 36]
[ 304 83 9 1 7 2 4 1 1 247 2527]]
Confusion matrix for turbine 1, turbine category 5
[[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 2 0 1 2 1 0 2 13953 39]
[ 2 0 7 0 12 0 3 22 253 3056]]
Confusion matrix for turbine 1, turbine category 6
[[ 0 0 0 0 0 0 0 0 0 70 68]
[ 0 0 0 1 0 0 0 0 0 310 13]
[ 0 0 0 0 0 0 0 0 0 323 1]
[ 0 0 0 0 0 1 0 0 0 320 3]
[ 0 0 0 1 0 0 0 0 0 319 4]
[ 0 0 0 1 0 0 0 0 0 315 8]
[ 0 0 0 0 0 0 0 0 0 320 4]
[ 0 0 0 0 0 0 0 0 0 319 5]
[ 0 0 0 0 0 0 0 0 0 293 11]
[ 4 20 3 0 13 0 1 2 2 11390 29]
[ 36 0 2 0 3 10 23 21 2 203 2881]]
Confusion matrix for turbine 1, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 3 4]
[ 0 0 0 0 0 0 0 0 0 27 9]
[ 0 0 0 0 0 0 0 0 0 16 20]
[ 0 0 0 0 0 0 0 0 0 27 9]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 10 26]
[ 1 1 4 3 13 2 1 1 1 13700 48]
[ 1 0 11 1 1 1 0 0 2 232 3036]]
Confusion matrix for turbine 1, turbine category 8
[[ 185 128 112 22 7 25 7 2 4 80 223]
[ 60 827 197 92 23 23 19 13 11 560 251]
[ 23 352 102 47 25 16 12 15 10 502 170]
[ 13 238 78 47 16 21 8 11 3 523 61]
[ 11 140 36 31 19 10 7 7 5 495 31]
[ 11 43 39 21 13 12 6 7 2 463 17]
[ 7 39 19 22 15 10 12 6 3 350 51]
[ 11 47 23 37 8 10 8 1 8 300 34]
[ 3 76 22 14 9 6 8 3 3 231 59]
[ 93 1263 369 271 207 130 92 97 59 5605 17]
[ 188 198 25 28 43 22 6 1 12 132 452]]
Confusion matrix for turbine 1, turbine category 9
[[ 175 0 1 0 1 0 0 1 13 175 407]
[ 35 1 5 0 0 0 0 0 0 596 92]
[ 31 1 0 0 0 1 0 0 0 404 45]
[ 15 0 1 0 0 1 0 0 0 235 98]
[ 4 1 0 0 0 0 0 0 0 222 76]
[ 0 0 0 0 0 0 0 0 0 165 85]
[ 0 0 0 0 0 0 0 0 0 170 46]
[ 1 0 0 0 0 0 0 0 0 193 22]
[ 0 0 2 0 0 0 0 2 0 196 16]
[ 0 9 9 6 11 9 26 20 20 11572 22]
[ 35 0 1 1 0 1 0 0 2 178 1898]]
Confusion matrix for turbine 1, turbine category 10
[[ 0 0 0 0 0 0 0 0 0 11 46]
[ 0 0 0 0 0 0 0 0 0 127 5]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 0 0 0 0 106 2]
[ 0 0 0 0 0 0 0 0 0 105 3]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 81 27]
[ 0 0 0 0 0 0 0 0 0 105 3]
[ 0 0 0 0 0 0 0 0 0 13118 34]
[ 3 14 2 3 0 0 0 0 0 265 2971]]
Confusion matrix for turbine 1, turbine category 11
[[ 0 0 0 0 0 0 0 0 0 7 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 1 0 0 34 1]
[ 1 10 17 4 2 11 2 2 4 13609 45]
[ 0 8 7 0 4 0 1 0 0 234 3099]]
Confusion matrix for turbine 1, turbine category 12
[[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 2 1 1 2 1 13956 37]
[ 6 0 0 0 0 271 3078]]
Confusion matrix for turbine 1, turbine category 13
[[ 0 0 0 0 0 0 0 0 0 2 2]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 148 0 1 1 0 0 0 1 0 13529 35]
[ 64 0 0 0 5 0 0 0 0 262 3017]]
------------------------------------------------------------------------
Confusion matrix for turbine 2, turbine category 0
[[ 0 0 0 0 0 0 0 0 0 2 2]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 7 16 7 13 13 32 3 2 16305 63]
[ 90 7 0 0 3 0 0 35 25 399 3087]]
Confusion matrix for turbine 2, turbine category 1
[[ 0 0 0 0 0 0 0 0 0 5 0]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 16401 61]
[ 0 0 0 0 0 0 0 0 0 374 3270]]
Confusion matrix for turbine 2, turbine category 2
[[16682 63]
[ 383 3271]]
Confusion matrix for turbine 2, turbine category 3
[[ 229 2 10 1 0 0 0 0 6 18 14]
[ 2 2 1 2 2 1 0 0 0 146 3]
[ 0 1 2 1 0 0 0 0 0 139 1]
[ 0 8 1 4 0 0 0 0 1 130 0]
[ 0 6 0 1 3 2 0 0 0 132 0]
[ 0 16 1 3 3 1 0 0 1 119 0]
[ 1 8 12 0 1 0 0 0 0 121 1]
[ 1 2 3 3 1 0 4 0 0 130 0]
[ 3 5 2 4 1 1 4 0 0 124 0]
[ 179 450 214 296 298 239 128 190 113 13428 38]
[ 1327 404 194 34 48 12 7 0 17 249 1087]]
Confusion matrix for turbine 2, turbine category 4
[[ 9 0 0 0 0 0 0 0 0 129 2314]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 1 0 0 0 0 71 0]
[ 0 0 0 0 7 0 0 0 0 65 0]
[ 0 0 1 0 0 0 0 0 0 71 0]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 4 1 2 0 11 16012 63]
[ 4 2 0 2 0 0 1 0 0 333 936]]
Confusion matrix for turbine 2, turbine category 5
[[ 0 0 0 0 0 0 0 0 0 62 268]
[ 0 0 0 1 0 0 0 0 0 126 36]
[ 0 0 0 1 0 0 0 0 0 35 36]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 32 36]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 3 0 5 1 0 10 0 0 16389 60]
[ 0 0 1 0 0 0 0 0 0 362 2719]]
Confusion matrix for turbine 2, turbine category 6
[[ 0 0 0 0 0 0 0 0 0 54 192]
[ 0 0 0 0 0 0 0 0 0 149 6]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 66 1]
[ 0 0 0 0 0 0 0 0 0 33 3]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 16206 60]
[ 1 0 0 0 0 0 0 0 0 343 3069]]
Confusion matrix for turbine 2, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 28 33]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 57 15]
[ 2 0 0 0 0 0 0 0 0 32 38]
[ 0 0 0 0 0 0 0 3 0 43 26]
[ 0 0 0 0 0 0 0 0 0 49 23]
[ 0 0 0 0 0 0 0 0 0 44 28]
[ 0 0 0 0 0 0 0 0 0 67 5]
[ 0 3 1 0 4 8 4 0 0 16242 61]
[ 5 0 0 0 0 0 6 40 0 338 3050]]
Confusion matrix for turbine 2, turbine category 8
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 4 62 52 88 66 45 16 21 91 16230 70]
[ 1297 11 1 0 2 0 2 0 1 380 1960]]
Confusion matrix for turbine 2, turbine category 9
[[16682 63]
[ 383 3271]]
Confusion matrix for turbine 2, turbine category 10
[[16682 63]
[ 383 3271]]
Confusion matrix for turbine 2, turbine category 11
[[ 0 0 0 0 0 0 0 0 0 36 17]
[ 0 0 0 2 0 0 0 0 3 276 7]
[ 0 0 0 0 0 0 0 0 0 276 12]
[ 0 0 0 0 0 0 0 0 3 276 9]
[ 0 0 0 0 0 1 0 0 0 283 4]
[ 0 0 0 0 0 0 0 0 0 256 16]
[ 0 0 0 0 0 0 0 0 5 209 38]
[ 0 0 0 0 0 0 0 0 1 213 38]
[ 0 0 0 0 0 0 0 0 0 243 9]
[ 0 0 1 1 4 13 1 1 46 14567 44]
[ 0 0 0 0 0 1 1 0 0 334 3152]]
Confusion matrix for turbine 2, turbine category 12
[[16682 63]
[ 383 3271]]
Confusion matrix for turbine 2, turbine category 13
[[16682 63]
[ 383 3271]]
------------------------------------------------------------------------
Confusion matrix for turbine 2, turbine category 0
[[ 0 0 0 0 0 0 0 0 0 6 51]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 45 27]
[ 0 0 0 0 0 0 0 0 0 64 8]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 1 0 18 1 0 0 0 0 17446 83]
[ 70 0 0 0 1 0 0 0 0 534 1612]]
Confusion matrix for turbine 2, turbine category 1
[[ 0 0 0 0 0 0 0 0 0 52 227]
[ 0 0 0 0 0 0 0 0 0 221 55]
[ 0 0 0 0 0 0 0 0 0 198 54]
[ 0 1 0 0 1 1 0 1 0 178 54]
[ 0 0 4 1 0 0 0 1 0 172 38]
[ 0 0 1 0 1 0 0 0 0 174 40]
[ 0 0 1 0 0 0 0 0 0 206 9]
[ 0 0 0 0 0 0 0 0 0 215 1]
[ 0 0 0 0 0 0 0 0 0 216 0]
[ 0 2 0 1 5 2 1 3 3 16497 89]
[ 0 0 0 0 0 0 0 0 0 380 1293]]
Confusion matrix for turbine 2, turbine category 2
[[18008 88]
[ 545 1758]]
Confusion matrix for turbine 2, turbine category 3
[[ 22 0 0 0 0 0 0 0 0 80 91]
[ 4 0 0 0 0 1 1 0 2 354 34]
[ 0 1 0 0 0 1 0 0 1 379 14]
[ 1 0 0 0 0 0 0 0 0 384 11]
[ 8 0 1 1 0 2 0 0 1 338 24]
[ 1 0 2 3 0 1 0 1 0 292 24]
[ 5 1 1 1 1 0 0 0 0 255 32]
[ 0 1 0 0 16 1 0 0 0 250 20]
[ 3 0 0 1 28 0 0 0 0 248 8]
[ 16 42 44 44 42 29 20 23 28 15300 61]
[ 290 64 17 1 66 1 0 0 32 398 929]]
Confusion matrix for turbine 2, turbine category 4
[[ 0 0 0 0 0 0 0 0 0 59 393]
[ 5 0 0 0 0 1 0 0 0 238 47]
[ 0 0 0 0 0 0 0 0 0 138 46]
[ 0 0 0 0 0 0 0 0 0 128 16]
[ 0 0 0 0 0 0 0 0 0 143 1]
[ 0 0 0 0 0 0 0 0 0 142 2]
[ 0 0 0 0 0 0 0 0 0 144 0]
[ 0 1 0 0 0 0 0 0 0 125 0]
[ 0 0 0 1 0 0 0 0 0 106 1]
[ 514 1 2 2 1 1 49 1 4 16238 85]
[ 158 0 0 0 0 0 0 0 0 557 1049]]
Confusion matrix for turbine 2, turbine category 5
[[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 24 16 3 10 2 1 0 17956 84]
[ 110 0 0 0 0 0 1 574 1618]]
Confusion matrix for turbine 2, turbine category 6
[[ 3 0 0 0 0 0 0 0 0 320 215]
[ 1 0 0 0 0 0 0 0 0 192 51]
[ 16 0 0 0 0 0 0 0 0 161 39]
[ 1 0 0 0 0 0 0 0 0 164 51]
[ 0 0 0 0 0 0 0 0 0 162 17]
[ 0 0 0 0 0 0 0 0 0 130 14]
[ 0 0 0 0 0 0 0 0 0 137 7]
[ 0 0 0 0 0 0 0 0 0 115 29]
[ 0 0 0 0 0 0 0 0 0 118 26]
[ 3 8 0 2 0 2 0 3 0 16686 85]
[ 24 0 0 0 0 0 0 0 0 350 1267]]
Confusion matrix for turbine 2, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 57 58]
[ 1 0 0 0 0 0 0 0 0 45 46]
[ 0 0 0 0 0 0 0 0 0 30 42]
[ 1 0 0 0 0 0 0 0 0 7 64]
[ 0 0 0 0 0 0 0 0 0 46 26]
[ 0 0 0 0 0 0 0 0 0 38 34]
[ 0 1 0 0 0 0 0 0 0 55 16]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 4 0 3 6 0 0 0 0 17690 87]
[ 6 0 0 0 3 0 1 1 0 430 1457]]
Confusion matrix for turbine 2, turbine category 8
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 1 3 9 3 1 7 14 13 1 17956 88]
[ 4 1 0 0 0 0 0 0 0 538 1760]]
Confusion matrix for turbine 2, turbine category 9
[[ 0 0 0 0 0 0 0 0 0 632 354]
[ 0 0 0 0 0 0 0 0 0 214 75]
[ 0 0 0 0 0 0 0 0 0 205 55]
[ 0 0 0 0 0 0 0 0 0 208 9]
[ 0 0 0 0 0 0 0 0 0 174 6]
[ 0 0 0 0 0 0 0 0 0 164 16]
[ 0 0 0 0 0 0 0 0 0 161 19]
[ 0 0 0 0 0 0 0 0 0 170 10]
[ 0 0 0 0 0 0 0 0 0 148 10]
[ 0 0 0 0 0 0 0 0 0 16223 84]
[ 0 0 0 0 0 0 0 0 0 254 1208]]
Confusion matrix for turbine 2, turbine category 10
[[18008 88]
[ 545 1758]]
Confusion matrix for turbine 2, turbine category 11
[[ 0 1 0 0 0 0 0 0 0 18 6]
[ 3 9 5 0 4 0 0 0 0 115 8]
[ 0 4 0 1 1 1 0 0 2 130 5]
[ 0 1 1 0 0 0 0 0 0 140 2]
[ 0 0 0 0 0 1 16 4 0 121 2]
[ 0 0 0 0 0 1 5 3 6 114 15]
[ 0 1 0 0 0 0 0 0 0 109 34]
[ 0 0 0 0 0 0 0 0 0 144 0]
[ 0 0 0 0 0 4 0 0 1 133 6]
[ 3 34 31 17 44 67 420 232 295 15773 97]
[ 12 6 2 2 1 61 68 35 0 504 1518]]
Confusion matrix for turbine 2, turbine category 12
[[18008 88]
[ 545 1758]]
Confusion matrix for turbine 2, turbine category 13
[[18008 88]
[ 545 1758]]
------------------------------------------------------------------------
Confusion matrix for turbine 2, turbine category 0
[[ 2 4 0 0 0 0 0 0 0 33 112]
[ 0 0 0 0 0 0 0 0 0 174 6]
[ 0 0 0 0 0 0 0 0 0 143 6]
[ 0 0 0 0 0 0 0 0 0 142 2]
[ 0 0 0 0 0 0 0 0 0 142 2]
[ 0 0 0 0 0 0 0 0 0 117 2]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 105 3]
[ 17 3 10 4 0 1 27 10 5 15437 204]
[ 24 0 0 0 0 0 33 0 0 173 3240]]
Confusion matrix for turbine 2, turbine category 1
[[ 4 6 0 0 0 0 0 0 0 0 10]
[ 2 31 0 0 0 0 0 0 0 0 3]
[ 0 19 0 0 0 0 0 0 0 0 17]
[ 0 5 0 0 0 0 0 0 0 0 31]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 1 0 0 0 0 0 0 0 0 35]
[ 0 5 0 0 0 0 0 0 0 0 31]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 5 14 33 26 55 39 12 25 16 16336 219]
[ 230 140 20 15 3 3 0 0 0 200 2700]]
Confusion matrix for turbine 2, turbine category 2
[[16551 231]
[ 193 3424]]
Confusion matrix for turbine 2, turbine category 3
[[ 238 3 2 4 2 0 0 0 4 65 308]
[ 12 7 4 4 2 2 0 1 1 449 75]
[ 0 5 2 0 27 2 0 0 0 387 48]
[ 5 0 2 2 12 2 0 0 0 376 58]
[ 4 4 1 1 2 6 1 0 2 305 67]
[ 1 5 1 0 2 0 0 0 0 305 46]
[ 1 4 0 0 0 0 0 1 0 282 41]
[ 8 1 3 5 3 1 0 0 2 250 34]
[ 0 5 1 1 0 0 0 1 3 239 38]
[ 18 39 44 46 40 69 25 22 47 13514 212]
[ 134 50 1 9 61 6 2 2 14 153 2103]]
Confusion matrix for turbine 2, turbine category 4
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 28 10 18 3 5 16 8 8 2 16470 214]
[ 407 0 12 0 1 0 0 0 0 196 3001]]
Confusion matrix for turbine 2, turbine category 5
[[ 0 0 0 0 0 0]
[ 0 0 0 0 0 0]
[ 0 0 0 0 0 0]
[ 0 0 0 0 0 0]
[ 1 4 3 3 16548 223]
[ 62 0 0 0 192 3363]]
Confusion matrix for turbine 2, turbine category 6
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 1 9 12 7 4 4 11 3 8 16497 226]
[ 6 7 7 1 2 68 23 1 1 198 3303]]
Confusion matrix for turbine 2, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 1 2 1 0 1 1 1 7 10 16528 230]
[ 261 95 57 49 0 1 5 0 0 203 2946]]
Confusion matrix for turbine 2, turbine category 8
[[ 0 0 0 0 0 0 0 0 0 7 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 33 3]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 4 13 3 4 12 10 10 0 16202 231]
[ 1 0 0 0 0 0 0 0 0 187 3427]]
Confusion matrix for turbine 2, turbine category 9
[[ 41 0 0 0 0 0 0 0 0 9 267]
[ 5 0 0 0 0 1 0 0 0 99 7]
[ 0 0 0 2 0 0 1 0 0 105 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 99 9]
[ 0 0 0 0 0 0 0 0 0 90 18]
[ 0 0 0 0 0 0 0 0 0 76 32]
[ 0 0 0 0 0 0 0 0 0 105 3]
[ 0 0 0 0 0 0 0 0 0 100 8]
[ 3 16 30 8 6 24 8 17 3 15678 200]
[ 204 2 23 0 0 7 0 2 1 187 2795]]
Confusion matrix for turbine 2, turbine category 10
[[16551 231]
[ 193 3424]]
Confusion matrix for turbine 2, turbine category 11
[[ 0 3 0 0 0 0 0 0 0 12 4]
[ 0 4 3 0 0 0 0 0 1 90 10]
[ 0 0 3 0 0 1 0 0 0 98 6]
[ 0 0 0 0 0 0 0 0 0 105 3]
[ 0 0 0 1 0 0 0 0 0 107 0]
[ 0 0 1 0 0 0 0 1 0 104 2]
[ 0 0 0 0 0 0 0 1 0 107 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 1 1 0 0 0 0 1 0 102 3]
[ 5 55 32 29 27 11 15 10 23 15495 230]
[ 11 6 1 1 0 6 20 13 43 148 3335]]
Confusion matrix for turbine 2, turbine category 12
[[16551 231]
[ 193 3424]]
Confusion matrix for turbine 2, turbine category 13
[[16551 231]
[ 193 3424]]
------------------------------------------------------------------------
Confusion matrix for turbine 2, turbine category 0
[[ 0 0 0 0 0 0 0 0 0 75 9]
[ 0 0 0 0 0 0 0 0 0 39 1]
[ 0 0 0 0 0 0 0 0 0 31 5]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 42 5 3 5 3 1 6 11 3 15979 61]
[ 96 0 1 0 0 0 0 1 0 482 3324]]
Confusion matrix for turbine 2, turbine category 1
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 4 4 3 8 15 9 30 5 16331 58]
[ 13 9 0 2 2 1 0 0 0 574 3331]]
Confusion matrix for turbine 2, turbine category 2
[[16413 54]
[ 583 3349]]
Confusion matrix for turbine 2, turbine category 3
[[ 178 0 0 0 0 0 0 0 0 45 185]
[ 1 0 0 1 0 0 1 3 0 379 12]
[ 1 1 0 1 0 0 1 0 1 356 35]
[ 1 1 1 0 1 0 0 0 0 359 33]
[ 0 0 0 0 0 0 0 0 0 341 47]
[ 0 1 1 0 1 0 0 0 0 254 44]
[ 0 1 0 1 1 1 0 0 0 210 38]
[ 0 0 0 0 0 0 0 0 0 216 36]
[ 2 0 0 0 0 0 1 1 0 201 24]
[ 15 48 60 46 37 31 48 14 39 13703 48]
[ 633 19 20 1 1 1 2 0 1 498 2115]]
Confusion matrix for turbine 2, turbine category 4
[[ 10 0 0 0 0 0 0 0 0 5 218]
[ 20 0 0 0 0 0 0 0 0 51 15]
[ 36 0 0 0 0 0 0 0 0 36 0]
[ 36 0 0 0 0 0 0 0 0 36 0]
[ 36 0 0 0 0 0 0 0 0 33 3]
[ 15 0 0 0 0 0 0 0 0 22 35]
[ 2 0 0 0 0 0 0 0 0 36 34]
[ 1 2 0 0 0 0 0 0 0 44 25]
[ 0 1 0 0 0 0 0 0 0 59 12]
[ 46 13 11 3 8 22 8 1 2 15992 49]
[ 885 0 0 0 0 0 0 0 0 549 1987]]
Confusion matrix for turbine 2, turbine category 5
[[ 0 0 0 0 0 0]
[ 0 0 0 0 0 0]
[ 0 0 0 0 0 0]
[ 0 0 0 0 0 0]
[ 0 1 0 0 16411 55]
[ 182 32 5 4 586 3123]]
Confusion matrix for turbine 2, turbine category 6
[[ 6 0 0 0 0 0 0 0 0 12 8]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 6 0 0 0 0 0 0 0 17 49]
[ 0 4 0 0 0 0 0 0 0 11 57]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 1 0 0 0 0 0 0 0 0 36 35]
[ 1 0 0 0 0 0 0 0 0 60 11]
[ 7 3 2 5 3 0 5 2 0 16114 56]
[ 234 16 5 6 0 0 0 0 0 574 2765]]
Confusion matrix for turbine 2, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 7 17]
[ 0 0 0 0 0 0 0 0 0 40 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 15 21]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 33 3]
[ 0 1 0 0 0 2 2 4 4 16128 55]
[ 7 0 0 6 2 0 17 11 0 582 3262]]
Confusion matrix for turbine 2, turbine category 8
[[ 0 0 0 0 0 0 0 0 1 136 486]
[ 0 2 0 1 0 0 0 0 0 355 37]
[ 1 0 0 0 0 0 0 1 0 263 40]
[ 0 0 0 0 0 0 0 0 0 186 36]
[ 0 0 0 0 0 1 0 0 0 125 54]
[ 0 0 0 0 0 0 0 0 0 121 59]
[ 0 0 0 0 0 0 0 0 0 141 39]
[ 0 0 0 0 0 0 0 0 0 144 36]
[ 0 0 0 0 0 0 0 0 0 144 36]
[ 2 8 14 5 1 0 1 3 2 14849 58]
[ 1 3 0 0 0 0 0 0 0 457 2550]]
Confusion matrix for turbine 2, turbine category 9
[[ 6 0 0 0 0 0 0 0 0 22 293]
[ 0 0 0 0 0 0 0 0 0 143 1]
[ 0 0 0 0 0 0 0 0 1 142 1]
[ 0 0 0 0 0 0 0 0 0 144 0]
[ 0 0 0 0 0 0 0 0 0 137 7]
[ 1 0 0 0 0 0 0 0 0 93 34]
[ 0 0 0 0 0 0 0 0 0 106 2]
[ 0 2 1 0 4 0 0 0 0 98 3]
[ 0 0 0 0 0 0 0 0 0 104 4]
[ 8 27 14 7 9 12 10 15 4 15339 57]
[ 107 2 0 0 0 0 19 1 0 541 2878]]
Confusion matrix for turbine 2, turbine category 10
[[ 0 0 0 0 0 0 0 0 0 1 15]
[ 0 0 0 0 0 0 0 0 0 7 29]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 10 26]
[ 0 0 0 0 0 0 0 0 0 16398 54]
[ 0 0 0 0 0 0 0 0 0 580 3063]]
Confusion matrix for turbine 2, turbine category 11
[[ 1 0 0 0 0 0 0 0 0 7 10]
[ 0 4 2 0 0 0 0 0 0 88 14]
[ 0 5 0 0 0 0 0 2 0 91 10]
[ 0 2 0 0 0 0 0 1 0 98 7]
[ 0 1 0 0 0 0 0 0 0 103 4]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 1 1 0 0 3 0 99 4]
[ 0 0 0 0 1 0 0 1 0 96 10]
[ 0 0 0 0 0 0 0 0 0 101 7]
[ 5 54 26 7 13 5 21 17 9 15416 83]
[ 55 19 2 1 1 1 8 4 7 464 3299]]
Confusion matrix for turbine 2, turbine category 12
[[16413 54]
[ 583 3349]]
Confusion matrix for turbine 2, turbine category 13
[[ 0 0 0 0 0 0 0 0 0 3 20]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 16123 54]
[ 0 0 0 0 0 0 0 0 0 583 3328]]
------------------------------------------------------------------------
Confusion matrix for turbine 2, turbine category 0
[[ 1 0 0 0 0 0 0 0 0 3 4]
[ 0 0 0 0 0 0 0 0 0 13 23]
[ 0 0 0 0 0 0 0 0 0 4 32]
[ 0 0 0 0 0 0 0 0 0 30 6]
[ 0 0 0 0 0 0 0 0 6 28 2]
[ 0 0 0 0 0 0 0 0 3 33 0]
[ 0 0 0 0 0 0 0 0 2 34 0]
[ 0 0 0 1 0 0 0 0 0 35 0]
[ 0 0 0 0 0 0 0 0 0 24 12]
[ 1 4 3 2 3 2 1 7 33 13412 146]
[ 48 1 0 0 0 0 0 0 0 248 6192]]
Confusion matrix for turbine 2, turbine category 1
[[ 1 0 0 0 0 0 0 0 0 7 78]
[ 0 0 0 0 0 0 0 0 0 43 29]
[ 0 0 0 0 0 0 0 1 0 50 21]
[ 0 0 0 0 0 0 0 1 0 71 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 51 21]
[ 0 0 0 0 0 0 0 0 0 58 14]
[ 0 0 0 0 0 0 0 0 0 35 37]
[ 0 0 0 0 0 0 0 0 0 54 18]
[ 1 1 2 1 4 0 1 2 2 13239 142]
[ 21 6 0 8 8 19 1 1 0 242 6036]]
Confusion matrix for turbine 2, turbine category 2
[[13679 148]
[ 256 6316]]
Confusion matrix for turbine 2, turbine category 3
[[ 28 0 0 0 0 0 0 0 0 12 13]
[ 1 0 0 0 0 0 0 0 10 37 24]
[ 5 1 0 0 0 0 0 0 5 35 26]
[ 2 3 0 0 0 0 0 0 0 35 32]
[ 0 3 0 0 0 0 0 0 0 27 42]
[ 0 7 0 0 0 0 0 0 1 27 37]
[ 0 1 0 0 1 0 0 0 0 35 35]
[ 1 2 0 0 1 0 0 0 0 35 33]
[ 0 0 0 0 21 0 0 0 0 36 15]
[ 18 40 23 17 13 29 27 18 26 13199 117]
[ 468 32 20 7 62 2 6 3 0 222 5421]]
Confusion matrix for turbine 2, turbine category 4
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 2 8 2 2 1 17 1 2 0 13648 144]
[ 109 8 6 0 0 23 0 0 1 254 6171]]
Confusion matrix for turbine 2, turbine category 5
[[ 0 0 0 0]
[ 0 0 0 0]
[ 3 1 13673 150]
[ 26 0 260 6286]]
Confusion matrix for turbine 2, turbine category 6
[[ 0 0 0 0 0 0 0 0 0 8 8]
[ 1 0 0 0 0 0 0 0 0 77 66]
[ 0 0 5 2 0 0 0 0 0 114 23]
[ 0 0 0 0 0 0 0 0 2 128 14]
[ 0 0 0 0 0 0 0 0 1 109 34]
[ 0 0 0 0 0 0 0 0 4 129 11]
[ 0 0 0 1 0 0 0 0 0 141 2]
[ 0 0 0 0 0 0 0 0 0 144 0]
[ 0 0 0 0 0 0 0 0 0 72 72]
[ 53 0 1 7 4 6 7 0 4 12693 134]
[ 12 66 6 4 1 1 0 2 8 232 5990]]
Confusion matrix for turbine 2, turbine category 7
[[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 1 1 0 1 1 13675 148]
[ 4 5 0 2 33 0 1 256 6271]]
Confusion matrix for turbine 2, turbine category 8
[[ 15 0 1 0 0 1 0 0 0 99 715]
[ 0 0 0 0 0 4 0 0 0 390 38]
[ 0 0 0 0 0 8 0 0 0 340 37]
[ 0 0 0 0 0 2 0 0 0 277 45]
[ 0 0 0 0 0 1 0 0 0 276 37]
[ 0 0 0 0 0 0 0 0 0 240 48]
[ 0 2 0 0 0 0 0 0 0 273 13]
[ 0 0 0 0 0 0 0 0 0 285 3]
[ 0 0 0 0 0 0 0 0 0 273 15]
[ 3 2 7 5 0 2 5 2 1 11231 140]
[ 2 8 1 0 0 4 0 0 0 206 5342]]
Confusion matrix for turbine 2, turbine category 9
[[ 357 1 0 0 1 0 0 0 53 144 3780]
[ 0 0 0 0 8 0 0 0 0 488 147]
[ 15 0 1 0 0 0 1 0 0 447 76]
[ 0 1 3 0 0 0 0 0 0 397 101]
[ 0 2 0 0 1 0 0 0 0 332 97]
[ 0 12 0 0 3 1 0 0 0 350 66]
[ 0 0 0 2 5 1 0 0 0 343 81]
[ 0 2 0 1 3 1 0 0 0 332 67]
[ 0 1 2 1 0 0 0 1 0 301 71]
[ 1 28 20 7 11 24 7 4 5 10443 54]
[ 82 0 4 0 0 2 0 0 1 149 1457]]
Confusion matrix for turbine 2, turbine category 10
[[ 0 0 0]
[ 0 13679 148]
[ 7 255 6310]]
Confusion matrix for turbine 2, turbine category 11
[[ 0 0 0 0 0 0 0 0 0 5 7]
[ 0 1 1 0 0 0 1 0 0 53 16]
[ 0 1 0 0 0 0 0 0 0 62 9]
[ 0 0 0 0 1 1 0 0 0 66 4]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 1 0 0 0 70 1]
[ 0 0 0 0 0 0 0 0 0 48 24]
[ 1 3 9 8 6 10 4 5 6 13118 140]
[ 0 0 5 3 1 22 10 2 0 215 6243]]
Confusion matrix for turbine 2, turbine category 12
[[13679 148]
[ 256 6316]]
Confusion matrix for turbine 2, turbine category 13
[[ 0 0 0 0 0 0 0 0 0 8 48]
[ 0 0 0 0 0 0 0 1 0 69 38]
[ 0 0 0 0 0 0 0 0 0 93 15]
[ 0 0 0 0 0 0 0 0 0 95 4]
[ 0 0 0 0 0 0 0 3 0 44 25]
[ 0 0 0 0 0 0 0 0 0 40 32]
[ 0 0 0 0 0 0 0 0 0 70 2]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 2 0 0 0 0 1 1 0 13124 145]
[ 1 0 0 0 0 0 0 0 0 240 6154]]
------------------------------------------------------------------------
Confusion matrix for turbine 3, turbine category 0
[[ 0 0 0 0 0 0 0 0 0 10 52]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 94 3]
[ 0 0 0 0 0 0 0 0 0 66 6]
[ 0 0 0 0 0 0 0 0 0 66 6]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 69 3]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 69 3]
[ 0 0 0 0 0 0 0 0 0 16423 255]
[ 0 0 0 0 0 0 0 0 0 313 4061]]
Confusion matrix for turbine 3, turbine category 1
[[ 0 0 0 0 0 0 0 0 0 3 19]
[ 0 0 0 0 0 0 0 0 0 131 49]
[ 0 0 0 0 0 0 0 0 0 137 43]
[ 0 0 0 0 0 0 0 0 0 161 19]
[ 0 0 0 0 0 0 0 0 0 157 23]
[ 0 0 0 0 0 0 0 0 0 156 24]
[ 0 0 0 0 0 0 0 0 0 178 2]
[ 0 0 0 0 0 0 0 0 0 166 14]
[ 0 0 0 0 0 0 0 0 0 158 22]
[ 0 0 0 0 0 0 0 0 0 15817 253]
[ 0 0 0 0 0 0 0 0 0 298 3921]]
Confusion matrix for turbine 3, turbine category 2
[[17047 258]
[ 315 4131]]
Confusion matrix for turbine 3, turbine category 3
[[ 0 0 0 0 0 0 0 0 0 5 58]
[ 0 0 0 0 0 0 0 0 0 67 5]
[ 0 0 0 0 0 0 0 0 0 64 8]
[ 0 0 0 0 0 0 0 0 0 68 4]
[ 0 1 0 0 0 0 0 0 0 54 17]
[ 0 1 0 0 0 0 0 0 0 71 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 69 3]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 33 3 1 1 12 1 2 0 16452 258]
[ 9 0 0 0 1 2 0 0 0 306 4031]]
Confusion matrix for turbine 3, turbine category 4
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 164 2 5 19 1 25 4 1 2 16829 253]
[ 138 17 3 0 0 0 0 1 0 329 3958]]
Confusion matrix for turbine 3, turbine category 5
[[ 0 0 0 0 0 0 0 0 0 12 335]
[ 0 0 0 0 0 0 0 0 0 14 58]
[ 0 0 0 0 0 0 0 0 0 54 18]
[ 0 0 0 0 0 0 0 0 0 61 11]
[ 0 0 0 0 0 0 0 1 0 65 6]
[ 0 0 0 0 0 0 0 0 0 55 17]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 67 5]
[ 0 0 0 0 0 0 0 0 0 67 5]
[ 0 0 0 1 13 3 3 3 1 16536 280]
[ 0 0 0 0 1 0 2 0 1 287 3697]]
Confusion matrix for turbine 3, turbine category 6
[[ 0 0 0 0 0 0 1 0 1 27 63]
[ 0 1 0 0 11 2 2 0 0 241 349]
[ 0 3 1 1 15 2 0 0 0 275 243]
[ 0 2 0 0 6 11 0 0 0 351 166]
[ 0 0 0 0 1 2 0 0 1 377 78]
[ 0 0 1 1 1 0 0 0 1 315 86]
[ 0 1 1 1 1 0 0 0 1 325 66]
[ 0 1 1 0 1 0 0 0 1 344 37]
[ 0 0 1 0 0 0 0 0 0 280 38]
[ 1 92 153 78 1 0 1 2 1 14222 224]
[ 42 1 0 2 49 16 1 6 0 254 2867]]
Confusion matrix for turbine 3, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 20 122]
[ 0 0 1 0 0 0 0 0 0 212 3]
[ 0 0 0 0 0 0 0 1 0 207 8]
[ 0 0 0 0 0 0 0 1 0 211 4]
[ 0 0 0 0 0 0 0 0 0 203 13]
[ 2 2 1 0 0 0 0 2 0 190 19]
[ 1 0 0 0 0 0 0 0 2 161 36]
[ 1 0 0 0 0 0 0 2 3 131 43]
[ 0 0 4 0 0 0 0 0 2 143 31]
[ 5 42 52 32 24 7 15 51 6 15350 242]
[ 109 0 4 5 13 24 2 10 3 313 3660]]
Confusion matrix for turbine 3, turbine category 8
[[2056 93 19 18 20 30 2 6 7 155 101]
[ 190 618 210 87 61 47 39 19 28 326 27]
[ 65 365 167 84 62 47 39 25 11 262 29]
[ 23 154 148 62 33 47 26 23 7 237 13]
[ 12 125 92 65 14 21 14 13 12 188 15]
[ 8 162 82 41 9 12 9 7 2 71 0]
[ 5 123 73 24 21 11 10 5 0 44 0]
[ 0 62 34 31 26 18 5 4 15 46 3]
[ 0 65 32 22 36 4 0 1 7 48 1]
[ 91 3177 1482 1004 875 350 156 139 985 3785 38]
[ 529 222 120 243 104 170 105 28 18 69 223]]
Confusion matrix for turbine 3, turbine category 9
[[17047 258]
[ 315 4131]]
Confusion matrix for turbine 3, turbine category 10
[[17047 258]
[ 315 4131]]
Confusion matrix for turbine 3, turbine category 11
[[ 2 0 0 0 0 0 0 0 0 31 21]
[ 0 0 0 0 2 0 0 0 0 253 69]
[ 0 0 0 0 0 0 0 0 0 230 94]
[ 0 0 0 0 0 0 0 0 0 264 60]
[ 0 0 0 0 0 0 0 0 0 268 56]
[ 0 0 0 0 0 0 0 0 0 279 45]
[ 0 0 0 0 0 0 0 0 0 274 50]
[ 0 0 0 0 0 0 0 0 0 248 76]
[ 0 0 0 0 0 0 0 0 0 210 77]
[ 0 8 0 3 33 0 0 1 1 14993 193]
[ 1 2 8 0 0 0 0 1 4 253 3641]]
Confusion matrix for turbine 3, turbine category 12
[[17047 258]
[ 315 4131]]
Confusion matrix for turbine 3, turbine category 13
[[17047 258]
[ 315 4131]]
------------------------------------------------------------------------
Confusion matrix for turbine 3, turbine category 0
[[ 0 0 0 0 0 0 0 0 0 40 1]
[ 0 0 0 0 0 0 0 0 0 32 4]
[ 0 0 0 0 0 0 0 0 0 32 4]
[ 0 0 0 0 0 0 0 0 0 33 3]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 33 3]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 23 20 0 27 9 1 1 0 18034 270]
[ 4 0 0 2 1 0 0 0 0 192 2838]]
Confusion matrix for turbine 3, turbine category 1
[[ 0 0 0 0 0 0 0 0 0 5 0]
[ 0 0 0 0 0 0 0 0 0 29 7]
[ 0 0 0 0 0 0 0 0 0 18 18]
[ 0 0 0 0 0 0 0 0 0 29 7]
[ 0 0 0 0 0 0 0 0 0 6 30]
[ 0 0 0 0 0 0 0 0 0 31 5]
[ 0 0 0 0 0 0 0 0 0 30 6]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 23 13]
[ 0 111 41 84 38 28 66 16 12 17805 270]
[ 0 0 0 0 0 0 0 1 5 166 2815]]
Confusion matrix for turbine 3, turbine category 2
[[18394 271]
[ 188 2898]]
Confusion matrix for turbine 3, turbine category 3
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 1 76 14 45 4 8 4 6 3 18236 268]
[ 3 0 0 0 0 0 0 0 0 188 2895]]
Confusion matrix for turbine 3, turbine category 4
[[ 1 0 0 0 0 0 0 0 0 5 43]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 67 5]
[ 0 0 0 0 0 0 0 0 0 69 3]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 26 0 0 0 0 0 0 0 0 17801 271]
[ 21 0 3 0 0 0 0 13 0 176 2815]]
Confusion matrix for turbine 3, turbine category 5
[[ 53 0 0 0 0 0 0 0 0 103 22]
[ 0 0 0 0 0 0 0 0 0 35 6]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 1 0 0 0 0 21 14]
[ 0 0 0 0 0 0 0 0 1 31 4]
[ 0 0 0 0 0 0 0 0 0 32 4]
[ 0 0 0 0 0 0 0 0 0 28 8]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 4 4 40 19 15 46 21 8 17877 272]
[ 4 0 0 0 1 0 0 1 0 163 2805]]
Confusion matrix for turbine 3, turbine category 6
[[ 1 1 0 0 0 0 0 0 0 0 2]
[ 3 8 0 0 0 0 0 0 0 0 25]
[ 1 2 0 0 0 0 0 0 0 30 3]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 1 35]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 2 34]
[ 0 0 0 0 0 0 0 0 0 30 6]
[ 0 2 13 9 4 9 3 1 1 18221 269]
[ 17 74 41 9 9 4 6 0 1 178 2588]]
Confusion matrix for turbine 3, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 5 0]
[ 0 0 0 0 0 0 0 0 0 27 9]
[ 0 0 0 0 0 0 0 0 0 20 16]
[ 0 0 0 0 0 0 0 0 0 27 9]
[ 0 0 0 0 0 0 0 0 0 6 30]
[ 0 0 0 0 0 0 0 0 0 33 3]
[ 0 0 0 0 0 0 0 0 0 30 6]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 21 15]
[ 0 47 41 127 39 33 70 10 16 17820 270]
[ 17 11 2 10 14 0 6 22 49 167 2687]]
Confusion matrix for turbine 3, turbine category 8
[[ 47 0 0 0 0 0 0 0 0 22 9]
[ 28 0 0 0 2 0 0 0 0 253 5]
[ 34 5 0 1 0 0 0 1 0 243 4]
[ 21 13 7 4 0 0 0 2 0 215 9]
[ 27 5 1 3 1 1 1 0 0 198 15]
[ 66 2 2 3 0 0 0 0 0 161 18]
[ 66 2 0 6 5 0 0 0 0 167 6]
[ 25 2 0 8 4 1 0 2 0 204 6]
[ 48 2 2 1 2 0 4 2 0 177 14]
[ 59 143 252 188 97 55 44 24 45 15841 209]
[ 786 62 127 116 87 39 79 37 13 136 1127]]
Confusion matrix for turbine 3, turbine category 9
[[ 0 0 0 0 0 0 0 0 0 136 1360]
[ 0 0 0 0 0 0 0 0 0 601 12]
[ 0 0 0 0 0 0 0 0 0 412 12]
[ 0 0 0 0 0 0 0 0 0 371 10]
[ 0 0 0 0 0 0 0 0 0 323 24]
[ 0 0 0 0 0 0 0 0 0 323 1]
[ 0 0 0 0 0 0 0 0 0 213 25]
[ 0 0 0 0 0 0 0 0 0 191 25]
[ 0 0 0 0 0 0 0 0 0 186 14]
[ 0 0 0 0 0 0 0 0 0 15667 245]
[ 0 0 0 0 0 0 0 0 0 159 1441]]
Confusion matrix for turbine 3, turbine category 10
[[18394 271]
[ 188 2898]]
Confusion matrix for turbine 3, turbine category 11
[[ 0 0 0 0 0 0 0 0 0 4 2]
[ 0 0 0 0 0 0 0 2 0 27 7]
[ 0 2 2 0 0 0 0 0 0 32 0]
[ 0 0 0 0 0 0 0 1 0 35 0]
[ 0 0 0 0 0 2 0 0 0 34 0]
[ 0 0 0 0 0 5 1 2 0 28 0]
[ 0 0 0 0 1 0 0 0 0 34 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 2 38 35 37 16 256 62 151 38 17460 286]
[ 4 10 3 12 3 6 5 19 9 181 2824]]
Confusion matrix for turbine 3, turbine category 12
[[18394 271]
[ 188 2898]]
Confusion matrix for turbine 3, turbine category 13
[[18394 271]
[ 188 2898]]
------------------------------------------------------------------------
Confusion matrix for turbine 3, turbine category 0
[[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 1 19 1 11 4 9 24 15662 238]
[ 1 0 0 1 0 0 0 264 5516]]
Confusion matrix for turbine 3, turbine category 1
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 28 34 27 17 61 19 12 4 15527 240]
[ 1 19 13 2 14 1 0 0 3 281 5448]]
Confusion matrix for turbine 3, turbine category 2
[[15734 235]
[ 264 5518]]
Confusion matrix for turbine 3, turbine category 3
[[ 0 0 0 0 0 0 0 0 0 2 5]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 31 5]
[ 0 0 0 0 0 0 0 0 0 29 7]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 2 24 27 10 14 50 18 2 1 15309 241]
[ 9 0 0 0 2 0 0 0 0 260 5487]]
Confusion matrix for turbine 3, turbine category 4
[[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 5 5 3 9 1 5 1 15703 237]
[ 60 1 0 0 0 1 0 261 5459]]
Confusion matrix for turbine 3, turbine category 5
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 43 2 5 4 7 5 8 7 2 15638 248]
[ 847 5 0 0 0 0 0 1 0 252 4677]]
Confusion matrix for turbine 3, turbine category 6
[[ 0 1 0 0 0 0 1 0 0 29 25]
[ 0 0 0 0 0 0 0 0 0 101 7]
[ 0 0 0 0 0 0 0 0 0 95 13]
[ 0 0 0 0 0 0 0 0 0 103 5]
[ 0 0 0 0 0 0 0 0 0 100 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 68 4]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 2 1 6 7 0 2 7 0 3 14996 226]
[ 5 10 7 0 6 14 2 5 0 252 5432]]
Confusion matrix for turbine 3, turbine category 7
[[ 19 0 0 0 0 0 0 0 0 19 157]
[ 0 0 0 0 0 0 0 0 0 144 9]
[ 0 0 0 0 0 0 0 0 0 99 4]
[ 0 0 0 0 0 0 0 0 0 47 25]
[ 0 0 0 0 0 0 0 0 0 49 23]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 67 5]
[ 0 0 0 0 0 0 0 0 0 58 14]
[ 0 0 0 0 0 0 0 0 0 56 16]
[ 2 27 9 31 3 2 4 8 4 15061 222]
[ 99 0 6 8 2 6 0 1 0 253 5120]]
Confusion matrix for turbine 3, turbine category 8
[[ 0 0 0 0 0 0 0 0 0 7 2]
[ 0 2 0 0 0 0 0 0 0 70 0]
[ 0 3 0 0 0 0 0 0 0 69 0]
[ 0 1 2 1 0 0 0 0 0 61 7]
[ 0 0 1 0 1 1 0 2 0 54 13]
[ 0 0 2 0 0 0 0 0 0 65 5]
[ 0 0 1 0 0 2 0 1 0 65 3]
[ 0 0 0 0 0 0 0 1 0 71 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 67 84 100 37 48 22 12 37 18 14785 196]
[ 1346 59 45 35 11 8 43 15 5 246 3947]]
Confusion matrix for turbine 3, turbine category 9
[[ 1 0 0 0 0 0 0 0 0 36 629]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 35 37]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 11 41 41 21 39 14 7 4 10 15209 246]
[ 91 0 2 2 3 2 2 1 0 228 4535]]
Confusion matrix for turbine 3, turbine category 10
[[ 0 0 0 0 0 0 0 0 0 17 47]
[ 0 0 0 0 0 0 0 0 0 37 0]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 31 5]
[ 0 0 0 0 0 0 0 0 0 17 19]
[ 0 0 0 0 0 0 0 0 0 17 19]
[ 0 0 0 0 0 0 0 0 0 8 28]
[ 0 0 0 0 0 0 0 0 0 3 33]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 15587 232]
[ 0 0 0 0 0 0 0 0 0 247 5332]]
Confusion matrix for turbine 3, turbine category 11
[[ 1 0 0 0 1 0 0 0 0 16 2]
[ 0 1 0 0 0 0 0 0 0 99 8]
[ 0 0 0 0 0 0 0 0 0 102 6]
[ 0 0 0 0 0 0 0 0 0 103 5]
[ 1 0 0 0 0 0 0 1 5 77 24]
[ 0 0 0 0 0 0 0 0 0 99 9]
[ 0 0 1 0 0 0 0 0 0 104 3]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 2 21 5 8 2 2 2 17 1 14851 238]
[ 29 4 0 1 1 1 2 14 154 230 5282]]
Confusion matrix for turbine 3, turbine category 12
[[15734 235]
[ 264 5518]]
Confusion matrix for turbine 3, turbine category 13
[[15734 235]
[ 264 5518]]
------------------------------------------------------------------------
Confusion matrix for turbine 3, turbine category 0
[[ 1 0 0 0 0 0 0 0 0 11 39]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 1 0 0 0 0 0 0 68 3]
[ 0 0 0 0 0 0 0 0 0 66 6]
[ 0 0 0 0 0 0 0 0 0 67 5]
[ 0 0 0 0 0 0 0 0 0 68 4]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 66 6]
[ 0 0 0 0 0 0 0 0 0 64 8]
[ 0 2 1 1 0 1 6 2 0 19797 140]
[ 0 0 0 0 0 0 0 0 0 94 1080]]
Confusion matrix for turbine 3, turbine category 1
[[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 2 3 2 1 1 5 5 20340 148]
[ 0 0 0 0 0 0 0 99 1145]]
Confusion matrix for turbine 3, turbine category 2
[[20360 147]
[ 101 1143]]
Confusion matrix for turbine 3, turbine category 3
[[ 0 0 0 0 0 0 0 0 0 7 6]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 2 0 0 0 0 0 0 0 0 16 18]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 12 24]
[ 0 0 1 5 4 1 1 1 4 20094 148]
[ 8 0 1 1 1 0 0 1 0 99 1080]]
Confusion matrix for turbine 3, turbine category 4
[[ 0 0 0 0 0]
[ 0 0 0 0 0]
[ 0 0 0 0 0]
[ 6 1 2 20350 148]
[ 15 0 0 101 1128]]
Confusion matrix for turbine 3, turbine category 5
[[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 1 1 2 3 5 4 1 20338 152]
[ 0 0 12 0 0 1 0 93 1138]]
Confusion matrix for turbine 3, turbine category 6
[[ 0 0 0 0 0 0 0 0 0 4 19]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 2 0 0 0 0 0 0 68 2]
[ 0 0 0 0 0 1 1 0 0 83 2]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 3 9 5 1 5 2 3 1 2 19557 153]
[ 9 7 3 1 0 8 3 0 0 96 1089]]
Confusion matrix for turbine 3, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 5 9]
[ 0 0 0 0 0 0 0 0 0 99 9]
[ 0 0 0 0 0 0 0 0 0 103 5]
[ 0 0 0 0 0 0 0 0 0 104 4]
[ 0 0 0 0 0 0 0 0 0 88 20]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 1 0 0 0 0 0 0 0 0 93 14]
[ 4 8 4 15 3 5 2 10 2 19497 142]
[ 31 0 1 3 1 1 0 3 1 91 1049]]
Confusion matrix for turbine 3, turbine category 8
[[ 213 0 1 0 0 1 0 0 0 45 126]
[ 0 0 0 0 0 0 0 0 0 144 0]
[ 0 0 0 0 0 0 0 0 0 144 0]
[ 0 0 0 0 0 0 0 1 0 141 2]
[ 0 0 0 0 0 0 0 0 0 141 3]
[ 0 0 0 0 0 0 0 0 0 140 4]
[ 0 0 0 0 0 0 0 0 0 141 3]
[ 0 0 3 0 1 0 0 0 0 133 6]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 7 50 38 34 18 11 23 15 15 19035 126]
[ 68 18 11 11 10 8 5 0 3 93 651]]
Confusion matrix for turbine 3, turbine category 9
[[ 1 0 0 0 0 0 0 0 0 17 38]
[ 0 0 0 0 0 0 0 0 0 62 10]
[ 0 0 1 1 0 2 0 0 0 68 0]
[ 0 0 1 0 3 0 0 0 0 82 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 1 0 0 0 106 1]
[ 0 0 0 0 0 2 0 0 0 106 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 3 20 13 5 11 12 3 2 4 19505 151]
[ 32 0 0 0 1 0 0 0 0 100 1063]]
Confusion matrix for turbine 3, turbine category 10
[[ 0 0 0 0]
[ 0 0 0 0]
[ 5 2 20351 149]
[ 0 0 100 1144]]
Confusion matrix for turbine 3, turbine category 11
[[ 0 0 0 0 0 0 0 1 0 5 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 28 8]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 17 10 10 5 13 4 12 22 19975 156]
[ 7 1 2 0 0 0 0 2 1 86 1133]]
Confusion matrix for turbine 3, turbine category 12
[[20360 147]
[ 101 1143]]
Confusion matrix for turbine 3, turbine category 13
[[ 0 0 0 0 0 0 0 0 0 2 16]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 25 11]
[ 0 0 0 0 0 0 0 0 0 33 3]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 20089 137]
[ 0 0 0 0 0 0 0 0 0 100 1119]]
------------------------------------------------------------------------
Confusion matrix for turbine 3, turbine category 0
[[ 0 0 0 0 0 0]
[ 0 0 0 0 0 0]
[ 0 0 0 0 0 0]
[ 0 0 0 0 0 0]
[ 1 1 3 3 19368 70]
[ 1 0 0 0 191 2113]]
Confusion matrix for turbine 3, turbine category 1
[[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 2 1 3 6 2 1 1 19359 71]
[ 0 1 14 0 0 0 0 194 2096]]
Confusion matrix for turbine 3, turbine category 2
[[19376 70]
[ 192 2113]]
Confusion matrix for turbine 3, turbine category 3
[[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 5 8 2 3 1 3 3 19351 70]
[ 1 0 0 13 0 0 1 0 192 2098]]
Confusion matrix for turbine 3, turbine category 4
[[ 0 0 0 0 0 0 0 0 0 6 51]
[ 0 0 0 0 0 0 0 0 0 105 3]
[ 0 0 1 0 0 0 0 0 0 107 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 106 2]
[ 0 0 0 0 0 0 0 0 0 106 2]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 102 6]
[ 2 1 0 1 0 0 0 0 0 18519 70]
[ 2 0 0 0 0 0 0 0 0 188 2047]]
Confusion matrix for turbine 3, turbine category 5
[[ 0 0 0 0 0 0 0 0 0 2 12]
[ 0 0 0 0 0 0 0 0 0 22 14]
[ 0 0 0 0 0 0 0 0 0 4 32]
[ 0 0 0 0 0 0 0 0 0 12 24]
[ 0 0 0 0 0 0 0 0 0 18 18]
[ 0 0 0 0 0 0 0 0 0 3 33]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 29 7]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 5 0 1 2 2 5 3 0 0 19240 71]
[ 0 0 0 0 0 0 0 0 0 182 1938]]
Confusion matrix for turbine 3, turbine category 6
[[ 0 0 0 0 0 0 0 0 0 17 122]
[ 0 0 0 1 3 2 0 0 0 210 0]
[ 0 0 0 2 5 5 1 0 0 202 1]
[ 0 0 0 0 4 6 2 0 0 186 3]
[ 0 0 0 4 5 1 0 0 0 149 1]
[ 0 0 0 0 6 5 0 0 0 130 3]
[ 0 0 0 0 0 0 0 0 0 140 4]
[ 0 0 0 0 0 0 0 0 0 140 4]
[ 0 0 6 0 6 0 0 0 0 128 4]
[ 0 21 40 35 176 54 6 6 40 17639 66]
[ 7 0 2 0 0 1 2 4 4 179 1961]]
Confusion matrix for turbine 3, turbine category 7
[[ 1 0 0 0 0 0 0 0 0 38 68]
[ 0 0 0 0 0 0 0 0 0 61 11]
[ 0 0 0 0 0 0 0 0 0 67 5]
[ 0 0 0 0 0 0 0 0 0 65 7]
[ 0 0 0 0 0 0 0 0 0 37 35]
[ 0 0 0 0 0 0 0 0 0 34 38]
[ 0 0 0 0 0 0 0 0 0 44 28]
[ 0 0 0 0 0 0 0 0 0 63 9]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 2 9 13 4 0 5 2 8 18870 67]
[ 28 0 0 0 0 0 0 1 0 172 1887]]
Confusion matrix for turbine 3, turbine category 8
[[ 0 0 0 0 0 0 0 0 0 3 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 33 3]
[ 0 0 0 0 1 0 0 0 0 32 3]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 33 3]
[ 10 31 48 42 41 6 7 3 2 18904 74]
[ 272 11 4 9 35 95 279 2 0 186 1398]]
Confusion matrix for turbine 3, turbine category 9
[[ 0 0 0 0 0 0 0 0 0 3 17]
[ 0 0 0 0 0 0 0 0 1 124 19]
[ 0 0 0 2 3 1 0 0 0 138 0]
[ 0 0 5 1 4 5 2 0 0 111 2]
[ 0 0 0 0 0 0 0 0 1 107 0]
[ 0 0 0 0 2 0 0 0 7 99 0]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 2 0 0 1 104 1]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 6 28 22 58 157 73 19 10 18 18047 76]
[ 242 0 1 0 0 0 1 0 1 185 1829]]
Confusion matrix for turbine 3, turbine category 10
[[ 0 0 0]
[ 2 19374 70]
[ 0 191 2114]]
Confusion matrix for turbine 3, turbine category 11
[[ 0 0 0 0 1 0 0 0 0 4 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 1 0 35 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 33 3]
[ 0 7 3 4 3 3 6 7 11 19042 73]
[ 3 0 0 0 0 0 43 1 0 187 2064]]
Confusion matrix for turbine 3, turbine category 12
[[19376 70]
[ 192 2113]]
Confusion matrix for turbine 3, turbine category 13
[[ 0 0 0 0 0 0 0 0 0 5 41]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 65 4]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 2 0 0 1 0 1 18981 72]
[ 0 0 0 0 0 0 0 0 0 190 2065]]
------------------------------------------------------------------------
Confusion matrix for turbine 4, turbine category 0
[[ 0 0 0 0 0 0 0 0 0 4 46]
[ 0 4 0 0 0 0 0 0 0 32 0]
[ 0 3 0 0 0 0 0 0 0 33 0]
[ 0 0 1 3 0 1 0 0 0 31 0]
[ 0 0 4 0 0 0 0 0 0 32 0]
[ 2 0 1 0 1 0 0 0 0 3 29]
[ 1 4 0 1 0 0 0 0 0 26 4]
[ 5 1 0 1 0 0 0 0 0 20 9]
[ 0 0 0 0 0 0 0 0 0 3 33]
[ 1 49 194 128 401 601 167 177 414 15360 302]
[ 138 3 10 6 13 4 4 1 3 285 3185]]
Confusion matrix for turbine 4, turbine category 1
[[ 0 0 0 0 0 0 0 0 0 6 8]
[ 0 0 0 0 0 0 0 0 0 34 74]
[ 0 0 0 0 0 0 0 0 0 57 51]
[ 0 0 0 0 0 0 0 0 0 104 4]
[ 0 0 0 0 0 0 0 0 0 95 13]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 0 0 0 0 94 14]
[ 0 0 0 0 0 0 0 0 0 106 2]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 17005 275]
[ 0 0 0 0 0 0 0 0 0 304 3322]]
Confusion matrix for turbine 4, turbine category 2
[[17707 290]
[ 313 3474]]
Confusion matrix for turbine 4, turbine category 3
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 5 0]
[ 56 1120 480 82 2 6 4 8 0 15945 289]
[ 42 5 1 2 0 0 0 0 0 308 3429]]
Confusion matrix for turbine 4, turbine category 4
[[17707 290]
[ 313 3474]]
Confusion matrix for turbine 4, turbine category 5
[[ 3 0 0 0 2 0 0 0 1 20 46]
[ 3 0 0 0 0 0 0 0 0 143 34]
[ 0 0 0 0 0 0 0 0 0 164 16]
[ 1 0 0 0 0 0 0 0 0 127 52]
[ 0 0 0 0 0 0 0 0 0 149 24]
[ 0 0 0 0 0 0 0 0 0 68 76]
[ 0 0 0 0 0 0 0 0 0 67 77]
[ 0 0 0 0 0 0 0 0 0 71 73]
[ 0 0 0 0 0 0 0 0 0 136 8]
[ 1 90 7 0 8 0 1 2 12 16677 265]
[ 97 3 0 3 0 12 3 5 3 305 2929]]
Confusion matrix for turbine 4, turbine category 6
[[ 255 0 6 1 0 0 0 1 1 83 149]
[ 28 3 0 0 0 0 1 0 2 353 62]
[ 43 17 0 1 0 0 0 0 0 271 38]
[ 23 1 0 0 0 1 2 0 0 221 59]
[ 12 1 2 1 0 0 0 0 0 202 34]
[ 0 0 0 0 0 1 0 0 0 212 39]
[ 4 0 0 0 2 1 0 0 0 206 39]
[ 1 7 2 0 0 0 0 0 0 187 55]
[ 0 0 0 0 0 1 0 0 0 222 20]
[ 211 38 49 2 28 30 5 0 40 15401 202]
[ 591 101 19 1 45 10 0 0 2 226 1910]]
Confusion matrix for turbine 4, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 4 14]
[ 0 0 0 0 0 0 0 0 0 33 39]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 69 3]
[ 0 0 0 0 0 0 0 0 0 60 12]
[ 0 0 0 0 0 0 0 0 0 48 24]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 56 16]
[ 0 0 0 0 0 0 0 0 0 17228 268]
[ 0 0 0 0 0 0 0 0 0 308 3386]]
Confusion matrix for turbine 4, turbine category 8
[[ 346 4 0 2 4 0 0 0 0 170 509]
[ 63 0 1 7 9 2 1 0 0 382 167]
[ 4 1 0 39 4 6 0 0 2 367 65]
[ 1 2 4 6 1 2 0 0 1 403 48]
[ 12 6 2 0 3 3 1 1 3 357 57]
[ 9 3 1 4 6 0 11 0 1 316 81]
[ 7 5 1 2 3 4 12 2 0 322 74]
[ 15 1 0 1 3 0 5 3 3 352 49]
[ 18 3 0 2 8 2 4 0 0 347 48]
[ 149 117 47 202 108 46 119 58 86 13660 184]
[ 215 52 18 14 49 17 7 12 0 163 1665]]
Confusion matrix for turbine 4, turbine category 9
[[ 1 0 0 0 0 3 0 0 0 27 174]
[ 0 0 0 0 0 0 0 0 0 63 61]
[ 0 0 0 0 0 0 0 0 0 27 81]
[ 0 0 0 0 0 0 0 0 0 50 58]
[ 0 0 0 0 0 0 0 0 0 105 3]
[ 0 0 0 0 0 0 0 0 0 75 33]
[ 0 0 0 0 0 0 0 0 0 66 42]
[ 0 0 0 0 0 0 0 0 0 97 11]
[ 0 0 0 0 0 0 0 0 0 86 22]
[ 0 0 0 0 4 0 1 2 10 17115 273]
[ 7 0 0 0 6 8 3 4 3 315 2948]]
Confusion matrix for turbine 4, turbine category 10
[[17707 290]
[ 313 3474]]
Confusion matrix for turbine 4, turbine category 11
[[ 1 3 0 0 0 0 0 0 0 33 20]
[ 1 3 1 0 4 2 0 0 0 256 57]
[ 0 0 0 0 1 2 0 1 0 281 39]
[ 0 0 0 0 0 1 0 0 0 261 62]
[ 0 0 0 1 1 0 0 0 3 278 41]
[ 0 0 0 0 1 10 0 0 0 303 10]
[ 0 0 0 0 2 0 0 0 1 291 30]
[ 0 0 0 0 0 0 0 1 0 268 50]
[ 0 0 3 0 2 0 0 0 0 206 77]
[ 0 18 5 12 3 63 7 20 18 15401 234]
[ 3 5 16 0 6 0 1 0 0 241 3123]]
Confusion matrix for turbine 4, turbine category 12
[[17707 290]
[ 313 3474]]
Confusion matrix for turbine 4, turbine category 13
[[17707 290]
[ 313 3474]]
------------------------------------------------------------------------
Confusion matrix for turbine 4, turbine category 0
[[ 1 0 0 0 0 0 0 0 0 13 13]
[ 1 1 2 0 1 1 0 0 0 145 10]
[ 0 0 0 0 0 0 1 1 0 142 0]
[ 0 0 0 0 0 0 0 0 0 144 0]
[ 0 2 2 1 0 0 0 0 0 130 9]
[ 10 0 0 0 1 0 0 0 1 103 29]
[ 22 0 0 0 0 0 0 0 0 115 7]
[ 11 1 0 0 0 0 0 0 0 114 18]
[ 4 0 0 0 0 0 0 0 0 118 22]
[ 9 21 16 17 17 5 12 6 7 13659 340]
[ 131 0 0 1 2 11 6 17 3 200 6108]]
Confusion matrix for turbine 4, turbine category 1
[[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 1 13 7 5 4 4 10 16 14673 384]
[ 0 3 0 0 0 2 0 0 244 6418]]
Confusion matrix for turbine 4, turbine category 2
[[14747 370]
[ 254 6413]]
Confusion matrix for turbine 4, turbine category 3
[[ 0 0 0 0 0 0 0 0 0 3 25]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 31 0]
[ 6 23 6 1 5 9 4 0 0 14412 367]
[ 724 0 1 0 0 0 0 0 1 253 5661]]
Confusion matrix for turbine 4, turbine category 4
[[14747 370]
[ 254 6413]]
Confusion matrix for turbine 4, turbine category 5
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 19 18 16 6 3 9 17 12 14646 371]
[ 4 16 0 2 2 10 5 19 0 246 6363]]
Confusion matrix for turbine 4, turbine category 6
[[ 3 0 0 0 0 0 0 0 0 6 8]
[ 0 0 0 0 0 0 0 0 0 33 39]
[ 0 0 0 0 1 0 0 0 0 35 36]
[ 0 1 0 0 0 0 0 0 0 35 36]
[ 0 0 1 0 0 0 0 0 0 35 36]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 31 41]
[ 53 34 25 49 30 22 62 31 20 14173 337]
[ 435 14 7 58 12 8 1 23 2 259 5536]]
Confusion matrix for turbine 4, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 2 5 11 5 1 3 3 1 14 14692 380]
[ 1 2 0 0 0 0 2 0 0 249 6413]]
Confusion matrix for turbine 4, turbine category 8
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 175 114 89 129 109 106 60 46 39 13927 323]
[ 1783 110 31 6 24 47 41 79 6 215 4325]]
Confusion matrix for turbine 4, turbine category 9
[[ 10 22 0 0 0 1 2 0 0 506 4619]
[ 0 0 0 0 0 0 0 0 0 126 95]
[ 0 0 0 0 0 0 0 0 0 125 65]
[ 0 0 0 0 0 0 0 0 0 100 80]
[ 0 0 0 0 0 0 0 0 0 144 36]
[ 0 0 0 0 0 0 0 0 0 143 37]
[ 0 0 0 0 0 0 0 0 0 110 70]
[ 0 0 0 0 0 0 0 0 0 118 62]
[ 0 0 0 0 0 0 0 0 0 139 41]
[ 0 14 0 1 0 1 5 5 3 13277 254]
[ 0 0 0 0 0 0 1 0 0 168 1404]]
Confusion matrix for turbine 4, turbine category 10
[[14747 370]
[ 254 6413]]
Confusion matrix for turbine 4, turbine category 11
[[ 0 0 0 0 0 0 0 0 0 3 4]
[ 0 5 0 0 0 2 0 0 1 26 2]
[ 0 0 0 0 0 0 0 0 0 15 21]
[ 0 0 0 0 0 0 0 0 0 0 36]
[ 0 0 0 0 0 0 0 0 0 20 16]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 6 69 26 23 20 15 24 27 11 14307 378]
[ 3 27 2 8 7 3 6 2 93 233 6199]]
Confusion matrix for turbine 4, turbine category 12
[[14746 371]
[ 254 6413]]
Confusion matrix for turbine 4, turbine category 13
[[14747 370]
[ 254 6413]]
------------------------------------------------------------------------
Confusion matrix for turbine 4, turbine category 0
[[ 0 0 0 0 0 0 0 3 3 3 226]
[ 1 4 2 6 8 2 0 5 3 59 18]
[ 0 5 2 1 3 5 1 5 1 81 4]
[ 0 1 1 0 1 0 1 2 4 98 0]
[ 0 0 3 14 1 0 0 6 0 84 0]
[ 0 1 0 18 4 0 0 6 0 75 4]
[ 0 1 1 3 2 0 0 1 0 83 17]
[ 0 2 1 7 1 0 0 1 0 83 13]
[ 0 0 11 7 7 1 1 3 0 74 4]
[ 9 60 33 85 142 6 27 33 9 16463 177]
[ 1 30 17 21 33 30 7 10 1 197 3294]]
Confusion matrix for turbine 4, turbine category 1
[[ 0 2 0 0 0 0 0 0 0 1 1]
[ 0 1 0 0 0 0 0 0 0 9 26]
[ 0 0 2 0 0 0 0 0 0 16 18]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 24 12]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 3 0 0 4 3 2 2 1 17363 193]
[ 0 1 0 0 0 1 0 0 0 208 3711]]
Confusion matrix for turbine 4, turbine category 2
[[17608 183]
[ 219 3774]]
Confusion matrix for turbine 4, turbine category 3
[[ 0 0 0 0 0 0 0 0 0 0 4]
[ 0 0 0 0 0 0 0 0 0 34 2]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 25 11]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 15 6 4 15 7 4 3 1 17289 181]
[ 45 0 0 0 0 0 0 0 0 208 3714]]
Confusion matrix for turbine 4, turbine category 4
[[17608 183]
[ 219 3774]]
Confusion matrix for turbine 4, turbine category 5
[[ 2 1 0 0 0 0 0 0 0 6 20]
[ 0 0 0 0 1 0 0 0 0 71 0]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 68 4]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 68 4]
[ 0 1 0 0 0 1 0 0 0 67 3]
[ 1 16 11 7 2 2 3 4 1 16995 173]
[ 5 0 0 9 0 2 0 6 0 225 3717]]
Confusion matrix for turbine 4, turbine category 6
[[ 300 0 0 0 0 0 0 0 0 6 14]
[ 36 0 0 0 0 0 0 0 0 57 15]
[ 36 0 0 0 0 0 0 0 0 62 10]
[ 36 0 0 0 0 0 0 0 0 47 25]
[ 36 0 0 0 0 0 0 0 0 47 25]
[ 35 0 0 0 0 0 0 0 0 58 15]
[ 36 0 0 0 0 0 0 0 0 54 3]
[ 35 0 0 0 0 1 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 738 4 6 5 5 7 6 1 3 15866 162]
[ 169 26 2 12 3 0 0 2 15 229 3426]]
Confusion matrix for turbine 4, turbine category 7
[[ 1 0 0 0 0 0 0 0 0 96 161]
[ 0 0 0 0 0 0 0 0 0 317 5]
[ 0 0 0 0 0 0 0 0 0 285 3]
[ 0 0 0 0 0 0 0 0 0 263 17]
[ 0 0 0 0 0 0 0 0 0 219 29]
[ 0 0 0 0 0 0 0 0 0 175 26]
[ 0 0 0 0 0 0 0 0 0 144 36]
[ 0 0 0 0 0 0 0 0 0 111 33]
[ 0 0 0 0 0 0 0 0 0 139 5]
[ 1 0 0 0 1 3 1 1 1 15876 175]
[ 4 0 0 0 0 0 0 0 1 186 3469]]
Confusion matrix for turbine 4, turbine category 8
[[ 0 0 0 0 0 0 0 0 0 0 91]
[ 0 0 0 0 0 0 0 0 0 18 18]
[ 0 0 0 0 0 0 0 0 0 27 9]
[ 0 0 0 0 0 0 0 0 0 15 21]
[ 0 0 0 0 0 0 0 0 0 11 25]
[ 0 0 0 0 0 0 0 0 0 18 18]
[ 0 0 0 0 0 0 0 0 0 24 12]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 46 3 9 10 13 25 11 23 8 17308 150]
[ 215 6 2 0 9 7 0 8 1 217 3334]]
Confusion matrix for turbine 4, turbine category 9
[[ 76 0 0 0 0 0 0 0 0 13 38]
[ 30 0 0 0 0 0 0 0 0 88 6]
[ 22 0 0 0 0 0 0 0 0 72 14]
[ 0 0 0 0 1 0 0 0 0 71 36]
[ 0 0 0 0 0 0 0 0 0 72 36]
[ 0 0 0 0 0 0 0 0 0 74 34]
[ 0 0 0 0 0 0 0 0 0 98 10]
[ 0 0 0 0 1 0 0 0 0 107 0]
[ 0 0 0 0 0 0 0 0 0 99 9]
[ 48 11 7 15 18 23 11 21 5 16771 143]
[ 1711 78 0 12 1 2 1 2 9 207 1681]]
Confusion matrix for turbine 4, turbine category 10
[[17608 183]
[ 219 3774]]
Confusion matrix for turbine 4, turbine category 11
[[ 0 0 0 0 0 0 0 0 0 12 0]
[ 1 0 0 0 0 0 0 0 0 68 3]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 70 2]
[ 0 0 0 0 1 0 0 0 0 71 0]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 0 0 0 0 0 0 0 0 0 72 0]
[ 0 0 0 0 0 0 0 0 0 71 1]
[ 5 14 8 8 4 5 6 8 7 16976 168]
[ 3 4 2 5 0 1 0 0 0 211 3761]]
Confusion matrix for turbine 4, turbine category 12
[[17608 183]
[ 219 3774]]
Confusion matrix for turbine 4, turbine category 13
[[17608 183]
[ 219 3774]]
------------------------------------------------------------------------
Confusion matrix for turbine 4, turbine category 0
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 8 25 5 11 10 7 2 3 6 20377 168]
[ 20 0 1 1 0 0 0 0 0 124 1016]]
Confusion matrix for turbine 4, turbine category 1
[[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 1 4 2 6 1 20420 188]
[ 0 0 0 0 0 125 1037]]
Confusion matrix for turbine 4, turbine category 2
[[20458 164]
[ 124 1038]]
Confusion matrix for turbine 4, turbine category 3
[[ 1 0 0 0 0 0 0 0 0 2476 361]
[ 0 0 0 0 0 0 0 0 0 223 25]
[ 0 0 0 0 0 0 0 0 0 178 16]
[ 0 0 0 0 0 0 0 0 0 180 0]
[ 0 0 0 0 0 0 0 0 0 168 0]
[ 0 0 0 0 0 0 0 0 0 144 0]
[ 0 0 0 0 0 1 0 0 0 139 4]
[ 0 0 0 0 0 0 0 0 0 143 1]
[ 0 0 0 0 0 0 0 0 0 138 6]
[ 0 8 2 2 2 7 1 6 1 16685 155]
[ 2 0 0 0 0 0 0 0 0 77 632]]
Confusion matrix for turbine 4, turbine category 4
[[ 0 0 0 0 0 0 0 0 0 14 214]
[ 0 0 0 0 0 0 0 0 0 28 52]
[ 0 0 0 0 0 0 0 0 0 36 36]
[ 0 0 0 0 0 0 0 0 0 49 9]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 24 12]
[ 0 0 0 0 0 0 0 0 0 8 28]
[ 0 0 0 0 0 0 0 0 0 27 9]
[ 0 0 0 0 0 0 0 0 0 14 22]
[ 0 0 0 0 0 0 0 0 0 20232 162]
[ 0 0 0 0 0 0 0 0 0 114 658]]
Confusion matrix for turbine 4, turbine category 5
[[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 3 5 3 1 2 3 2 20431 172]
[ 7 0 0 0 0 0 1 0 121 1033]]
Confusion matrix for turbine 4, turbine category 6
[[ 0 0 0 0 0 0 0 0 0 5 48]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 35 1]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 0 0 0 0 0 0 0 0 0 36 0]
[ 6 23 16 5 3 4 5 6 4 20093 166]
[ 19 1 1 3 1 0 0 0 5 128 954]]
Confusion matrix for turbine 4, turbine category 7
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 9 14 13 5 5 8 12 3 12 20358 183]
[ 52 0 0 0 0 0 2 0 0 113 995]]
Confusion matrix for turbine 4, turbine category 8
[[ 0 0 0 0 0 0 0 0 0 7 9]
[ 0 0 0 0 0 0 0 0 0 74 34]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 106 2]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 103 5]
[ 10 2 9 6 8 5 2 11 10 19556 173]
[ 76 6 0 0 4 0 0 3 0 122 901]]
Confusion matrix for turbine 4, turbine category 9
[[ 53 4 0 0 0 0 0 0 0 55 53]
[ 1 0 0 0 0 0 0 0 0 162 16]
[ 1 0 0 0 0 0 0 0 0 176 3]
[ 0 0 0 0 0 0 0 0 0 173 7]
[ 0 0 0 0 0 0 0 0 0 179 1]
[ 0 0 0 0 0 0 0 0 0 179 1]
[ 0 0 0 0 0 0 0 0 0 179 1]
[ 0 0 0 0 0 0 1 0 1 176 2]
[ 4 0 0 0 0 0 0 0 0 151 25]
[ 3 6 3 1 2 13 11 3 2 18998 151]
[ 220 5 0 0 0 0 0 0 0 105 657]]
Confusion matrix for turbine 4, turbine category 10
[[20458 164]
[ 124 1038]]
Confusion matrix for turbine 4, turbine category 11
[[ 0 0 0 0 0 0 0 0 0 12 7]
[ 0 0 0 0 0 0 0 0 0 99 9]
[ 0 0 0 0 0 0 0 1 0 104 3]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 78 30]
[ 0 0 0 0 1 0 0 0 0 103 4]
[ 0 0 0 0 0 0 0 0 0 101 7]
[ 0 0 0 0 0 0 0 0 0 102 6]
[ 1 10 7 8 5 6 2 8 11 19583 157]
[ 2 0 2 1 0 0 0 0 0 101 997]]
Confusion matrix for turbine 4, turbine category 12
[[20458 164]
[ 124 1038]]
Confusion matrix for turbine 4, turbine category 13
[[ 0 0 0 0 0 0 0 0 0 8 42]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 48 29]
[ 0 0 0 0 0 0 0 0 0 62 10]
[ 0 0 0 0 0 0 0 0 0 69 3]
[ 0 0 0 0 0 0 0 0 0 70 2]
[ 0 0 0 0 0 0 0 0 0 69 3]
[ 0 0 0 0 0 0 0 0 0 19810 160]
[ 0 0 0 0 0 0 0 0 0 123 952]]
------------------------------------------------------------------------
Confusion matrix for turbine 4, turbine category 0
[[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0]
[ 0 5 29 2 1 1 1 2 20258 61]
[ 2 0 0 0 0 0 1 0 84 1337]]
Confusion matrix for turbine 4, turbine category 1
[[ 0 0 0 0]
[ 0 0 0 0]
[ 1 2 20297 60]
[ 0 0 82 1342]]
Confusion matrix for turbine 4, turbine category 2
[[20300 60]
[ 82 1342]]
Confusion matrix for turbine 4, turbine category 3
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 2 10 2 12 66 151 4 5 20043 65]
[ 61 5 0 0 0 0 0 0 0 84 1274]]
Confusion matrix for turbine 4, turbine category 4
[[ 0 1 0 0 0 0 0 0 0 13 117]
[ 0 0 0 0 0 0 0 0 0 107 1]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 0 0 0 0 0 0 94 14]
[ 0 0 0 0 0 0 0 1 0 107 0]
[ 0 0 0 0 0 0 0 1 0 106 1]
[ 0 0 0 0 0 0 0 0 0 97 11]
[ 0 0 0 0 0 0 0 0 0 108 0]
[ 0 0 0 3 0 0 0 0 0 19451 54]
[ 15 3 17 0 0 0 0 0 0 80 1166]]
Confusion matrix for turbine 4, turbine category 5
[[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 2 1 0 4 1 20287 65]
[ 1 1 3 0 0 83 1336]]
Confusion matrix for turbine 4, turbine category 6
[[ 0 0 0 0 0 0 0 0 0 11 6]
[ 0 0 0 0 0 0 0 0 0 90 54]
[ 0 0 0 0 0 0 0 0 0 144 0]
[ 0 0 0 0 0 0 0 0 0 143 1]
[ 0 0 0 0 0 0 0 0 0 140 4]
[ 0 0 0 0 0 0 0 0 0 143 1]
[ 0 0 0 0 0 0 0 0 0 143 1]
[ 0 0 0 0 0 0 1 0 0 143 0]
[ 0 0 0 0 0 0 0 0 0 140 4]
[ 7 25 6 1 5 1 3 1 3 19160 56]
[ 84 0 0 0 4 0 0 0 0 78 1181]]
Confusion matrix for turbine 4, turbine category 7
[[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0]
[ 3 2 3 1 3 3 4 20277 64]
[ 0 0 0 0 3 0 0 83 1338]]
Confusion matrix for turbine 4, turbine category 8
[[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0]
[ 6 3 16 3 3 5 6 2 1 20253 62]
[ 26 2 0 0 3 0 0 0 0 84 1309]]
Confusion matrix for turbine 4, turbine category 9
[[ 136 6 0 0 0 0 0 0 41 110 857]
[ 7 0 0 1 0 0 0 0 1 530 13]
[ 1 0 0 0 0 0 0 0 0 533 6]
[ 0 0 0 0 0 0 0 0 1 529 2]
[ 0 0 0 0 0 0 0 0 1 499 4]
[ 0 0 0 0 1 0 0 0 2 500 1]
[ 1 0 0 0 0 0 0 0 0 457 18]
[ 0 1 0 0 0 0 0 0 0 458 9]
[ 1 0 0 0 0 0 0 0 1 423 11]
[ 6 7 4 15 13 7 1 2 12 16220 53]
[ 20 0 0 0 0 0 0 0 0 37 225]]
Confusion matrix for turbine 4, turbine category 10
[[20300 60]
[ 82 1342]]
Confusion matrix for turbine 4, turbine category 11
[[ 0 0 0 0 0 0 0 0 0 20 10]
[ 0 0 0 0 0 0 0 0 0 142 38]
[ 0 0 0 0 0 0 0 0 0 142 38]
[ 0 0 0 0 0 0 0 0 0 144 36]
[ 0 0 0 0 0 0 2 0 0 142 36]
[ 0 0 0 0 0 1 0 0 0 139 40]
[ 0 0 0 0 0 0 0 0 0 148 32]
[ 0 0 0 1 0 0 0 0 0 151 28]
[ 0 0 0 0 0 0 0 0 0 147 29]
[ 1 7 4 5 1 3 4 7 1 19106 55]
[ 0 19 0 0 0 0 0 0 0 60 1045]]
Confusion matrix for turbine 4, turbine category 12
[[20300 60]
[ 82 1342]]
Confusion matrix for turbine 4, turbine category 13
[[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0]
[ 0 3 2 1 2 20292 60]
[ 1 0 0 0 0 82 1341]]
------------------------------------------------------------------------
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
C:\Program Files\Anaconda3\lib\site-packages\pandas\core\nanops.py in f(values, axis, skipna, **kwds)
111 _bn_ok_dtype(values.dtype, bn_name)):
--> 112 result = bn_func(values, axis=axis, **kwds)
113
TypeError: 'NoneType' object is not callable
During handling of the above exception, another exception occurred:
KeyboardInterrupt Traceback (most recent call last)
<ipython-input-1-79ee8549bda9> in <module>()
59 else:
60 return 'curtailed'
---> 61 dfx['curtailment']=dfx.apply(f22,axis=1)
62
63 def f3(c): #filter unusual readings, i.e. for normal operation, power <=0 in operating wind speeds, power >100...
C:\Program Files\Anaconda3\lib\site-packages\pandas\core\frame.py in apply(self, func, axis, broadcast, raw, reduce, args, **kwds)
4260 f, axis,
4261 reduce=reduce,
-> 4262 ignore_failures=ignore_failures)
4263 else:
4264 return self._apply_broadcast(f, axis)
C:\Program Files\Anaconda3\lib\site-packages\pandas\core\frame.py in _apply_standard(self, func, axis, ignore_failures, reduce)
4316 labels = self._get_agg_axis(axis)
4317 result = lib.reduce(values, func, axis=axis, dummy=dummy,
-> 4318 labels=labels)
4319 return Series(result, index=labels)
4320 except Exception:
pandas\_libs\src\reduce.pyx in pandas._libs.lib.reduce (pandas\_libs\lib.c:44036)()
pandas\_libs\src\reduce.pyx in pandas._libs.lib.Reducer.get_result (pandas\_libs\lib.c:33629)()
<ipython-input-1-79ee8549bda9> in f22(c)
54 def f22(c): #filter out curtailment - curtailed when turbine is pitching outside 0deg<= normal <=3.5deg
55 if 0<=c['pitch']<=3.5 or c['hours']!=9999 or ((c['pitch']>3.5 or c['pitch']<0) and
---> 56 (c['ap_av']<=(.1*dfx['ap_av'].max())
57 or c['ap_av']>=(.9*dfx['ap_av'].max()))):
58 return 'normal'
C:\Program Files\Anaconda3\lib\site-packages\pandas\core\generic.py in stat_func(self, axis, skipna, level, numeric_only, **kwargs)
6340 skipna=skipna)
6341 return self._reduce(f, name, axis=axis, skipna=skipna,
-> 6342 numeric_only=numeric_only)
6343
6344 return set_function_name(stat_func, name, cls)
C:\Program Files\Anaconda3\lib\site-packages\pandas\core\series.py in _reduce(self, op, name, axis, skipna, numeric_only, filter_type, **kwds)
2379 'numeric_only.'.format(name))
2380 with np.errstate(all='ignore'):
-> 2381 return op(delegate, skipna=skipna, **kwds)
2382
2383 return delegate._reduce(op=op, name=name, axis=axis, skipna=skipna,
C:\Program Files\Anaconda3\lib\site-packages\pandas\core\nanops.py in f(values, axis, skipna, **kwds)
120 except Exception:
121 try:
--> 122 result = alt(values, axis=axis, skipna=skipna, **kwds)
123 except ValueError as e:
124 # we want to transform an object array
C:\Program Files\Anaconda3\lib\site-packages\pandas\core\nanops.py in reduction(values, axis, skipna)
458 result = np.nan
459 else:
--> 460 result = getattr(values, meth)(axis)
461
462 result = _wrap_results(result, dtype)
C:\Program Files\Anaconda3\lib\site-packages\numpy\core\_methods.py in _amax(a, axis, out, keepdims)
24 # small reductions
25 def _amax(a, axis=None, out=None, keepdims=False):
---> 26 return umr_maximum(a, axis, None, out, keepdims)
27
28 def _amin(a, axis=None, out=None, keepdims=False):
KeyboardInterrupt: